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27 Jul 2025 - 30 Jul 2025

AAPM 2025 - 67th Annual Meeting & Exhibition of the American Association of Physicists in Medicine

AI-Powered Abdomen Map Enables Early Cancer Detection

By MedImaging International staff writers
Posted on 05 Feb 2025

Image: Two abdominal CT scan slices, standard on the left and AbdomenAtlas’ organ segmentation on the right (Photo courtesy of Johns Hopkins University)

Radiologists are increasingly turning to artificial intelligence (AI)-driven computer vision models to assist with the time-consuming task of analyzing medical scans. However, these models require large, meticulously labeled datasets to produce reliable and accurate results, meaning radiologists still need to spend significant time annotating medical images. To address this challenge, researchers have harnessed AI to create the most extensive and comprehensive dataset of abdominal organs to date, designed to help radiologists quickly and accurately identify tumors and other medical conditions.

A team of researchers from around the globe, led by Johns Hopkins University (Baltimore, MD, USA), has developed AbdomenAtlas, which is the largest abdominal CT dataset available, consisting of more than 45,000 3D CT scans representing 142 annotated anatomical structures. These scans were gathered from 145 hospitals worldwide, making AbdomenAtlas more than 36 times larger than the nearest competitor, TotalSegmentator V2. The dataset and its applications were featured in a recent edition of Medical Image Analysis. Prior abdominal organ datasets were compiled by radiologists manually identifying and labeling individual organs in CT scans, a labor-intensive process requiring thousands of hours of human effort. The researchers accelerated this annotation process by leveraging AI algorithms. With the help of 12 expert radiologists and additional medical trainees, they completed in under two years a task that would have taken human annotators over two millennia.

The method developed by the researchers combines three AI models trained on publicly available datasets of labeled abdominal scans to predict annotations for previously unlabeled scans. The AI then generates color-coded attention maps that highlight areas needing refinement, allowing radiologists to focus their review on the most critical sections of the models' predictions. This iterative process—AI prediction followed by human validation—greatly accelerates the annotation workflow, achieving a 10-fold speedup for tumors and a 500-fold speedup for organ annotations, according to the researchers. This process not only increases the scope, scale, and precision of the dataset, but it also prevents overwhelming the radiologists involved. The outcome is what the team describes as the largest fully annotated abdominal organ dataset available. They are continuing to expand the dataset by adding more scans, organs, and both real and artificial tumors, further enhancing the training of AI models for identifying cancer, diagnosing diseases, and even creating digital twins of real-life patients.

AbdomenAtlas also provides a valuable benchmark that allows other research groups to test the accuracy of their medical segmentation algorithms. The more comprehensive the dataset used to evaluate these algorithms, the more reliable and effective the models can be in complex clinical scenarios, according to the Hopkins team. The researchers plan to make AbdomenAtlas publicly available and are introducing new medical segmentation challenges to encourage AI algorithms that are not only theoretically robust but also practically efficient and reliable for use in clinical settings. Despite the advancements offered by AbdomenAtlas, its creators note that it represents only 0.05% of the CT scans acquired annually in the United States, and they are calling on other institutions to help expand this important resource.

"Cross-institutional collaboration is crucial for accelerating data sharing, annotation, and AI development," the researchers wrote. "We hope our AbdomenAtlas can set the stage for larger-scale clinical trials and offer exceptional opportunities to practitioners in the medical imaging community."

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80 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

81 (33.855438232422): SELECT show_live FROM jos_com_show_setting LIMIT 1

82 (36.001205444336): SELECT show_live FROM jos_com_show_setting LIMIT 1

83 (28.133392333984): SELECT show_live FROM jos_com_show_setting LIMIT 1

84 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

85 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

86 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

87 (27.894973754883): SELECT show_live FROM jos_com_show_setting LIMIT 1

88 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

89 (26.941299438477): SELECT show_live FROM jos_com_show_setting LIMIT 1

90 (81.062316894531): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

91 (51.021575927734): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

92 (51.975250244141): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294803961 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

93 (72.956085205078): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

94 (45.061111450195): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

95 (369.78721618652): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294803961 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

96 (516.89147949219): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

97 (327.11029052734): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

98 (73.19450378418): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

99 (53.882598876953): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

100 (46.014785766602): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

101 (39.100646972656): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

102 (47.922134399414): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

103 (38.14697265625): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

104 (41.961669921875): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

105 (35.04753112793): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

106 (267.98248291016): SELECT * FROM trending_articles WHERE `journal_id` = 10 AND `timestamp` <= NOW() + INTERVAL 7 DAY ORDER BY `order`

107 (!!!!! 18601.894378662): SELECT * FROM jos_deeppockets WHERE jos_deeppockets.cat = 10 AND jos_deeppockets.type = 'deeppockets_item' AND jos_deeppockets.published = 1 AND jos_deeppockets.created + INTERVAL 14 DAY >= NOW() ORDER BY jos_deeppockets.hits DESC LIMIT 7

108 (513.07678222656): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294803961 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294803961 AND type='deeppockets_item' AND published='1' LIMIT 1

109 (!!!!! 6855.9646606445): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

110 (92.029571533203): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

111 (327.11029052734): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803337 LIMIT 1

112 (56.028366088867): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803337 LIMIT 1

113 (211.95411682129): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803276 LIMIT 1

114 (73.909759521484): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294803276 LIMIT 1

115 (180.95970153809): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294803276 LIMIT 1

116 (36.001205444336): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets_archive AS dp WHERE dp.id = 294803276 LIMIT 1

117 (174.99923706055): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1

118 (36.954879760742): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294802958 LIMIT 1

119 (336.1701965332): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

120 (146.15058898926): SELECT name FROM jos_deeppockets WHERE id=215

121 (31.948089599609): SELECT name FROM jos_deeppockets WHERE id=215

122 (539.06440734863): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))215((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

123 (440.12069702148): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))215((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

124 (147.81951904297): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

125 (46.968460083008): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

126 (!!!!! 8841.0377502441): TRUNCATE TABLE jos_trademed_module

127 (277.99606323242): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294803961 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

128 (490.90385437012): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

129 (61.988830566406): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

130 (54.836273193359): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

131 (36.954879760742): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

132 (!!!!! 1094.1028594971): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='L' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) ORDER BY RAND() DESC LIMIT 6

133 (49.829483032227): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

134 (39.100646972656): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

135 (31.948089599609): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294803961 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294803961 AND type='deeppockets_item' AND published='1' LIMIT 1

136 (26.941299438477): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=215 or channel_id is null)

137 (26.941299438477): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=215 or channel_id is null)

138 (27.894973754883): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

139 (406.98051452637): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

140 (563.8599395752): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294803961 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294803961 AND published='1' LIMIT 1

141 (104.90417480469): select jos_twitters.link from jos_twitters where cat=10

142 (183.10546875): select jos_facebook.link from jos_facebook where cat=10

143 (28.848648071289): select jos_google_plus.link from jos_google_plus where cat=10

144 (26.941299438477): select jos_linkedin.link from jos_linkedin where cat=10

145 (191.92695617676): update jos_bannersmanager_banner set impmade=impmade+1 where id in(14202,14203)

146 (!!!!! 2219.9153900146): insert into jos_banners_delta values (14202,'2025-06-21 03:17:12','216.73.216.120','view'),(14203,'2025-06-21 03:17:12','216.73.216.120','view')

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