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Can incorporating image resolution into neural networks improve kidney tumor classification performance in ultrasound images?

• Authors : He, Haihao^1,2 (AUTHOR); Liu, Yuhan (AUTHOR); Zhou, Xin^1,2 (AUTHOR)

Subjects: CONVOLUTIONAL neural networks; COMPUTER-aided diagnosis; RECEIVER operating characteristic curves

• Source: Medical & Biological Engineering & Computing. Aug2024, p1-13.

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Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system.

• Authors : Davila-Piñón, Pedro; Nogueira-Rodríguez, Alba; Díez-Martín, Astrid Irene

Subjects: COMPUTER-aided diagnosis; COLON polyps; ADENOMATOUS polyps

• Source: Frontiers in Oncology; 2024, p01-09, 9p

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Detection of the usual interstitial pneumonia pattern in chest CT: effect of computer-aided diagnosis on radiologist diagnostic performance.

• Authors : Fujita, Ryo^1,2,3 (AUTHOR); Iwasawa, Tae^1,2 (AUTHOR) ; Aoki, Takatoshi³ (AUTHOR)

Subjects: *IDIOPATHIC pulmonary fibrosis; *COMPUTER-aided diagnosis; *COMPUTED tomography

• Source: Acta Radiologica. Mar2024, Vol. 65 Issue 3, p259-266. 8p.

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Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors.

• Authors : Iwai, Tomohisa¹ (AUTHOR) ; Kida, Mitsuhiro¹ (AUTHOR); Okuwaki, Kosuke¹ (AUTHOR)

Subjects: *COMPUTER-aided diagnosis; *ENDOSCOPIC ultrasonography; *RECEIVER operating characteristic curves

• Source: Scandinavian Journal of Gastroenterology. Aug2024, Vol. 59 Issue 8, p925-932. 8p.

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Breaking the threshold: Developing multivariable models using computer-aided chest X-ray analysis for tuberculosis triage.

• Authors : Geric, Coralie^1,2,3 (AUTHOR); Tavaziva, Gamuchirai^1,3 (AUTHOR); Breuninger, Marianne⁴ (AUTHOR)

Subjects: *RECEIVER operating characteristic curves; *COMPUTER-aided diagnosis; *IMAGE recognition (Computer vision)

• Source: International Journal of Infectious Diseases. Oct2024, Vol. 147, pN.PAG-N.PAG. 1p.

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Development and multicenter validation of deep convolutional neural network–based detection of colorectal cancer on abdominal CT.

• Authors : Han, Yeo Eun¹ (AUTHOR); Cho, Yongwon^1,2 (AUTHOR); Park, Beom Jin¹ (AUTHOR)

Subjects: *CONVOLUTIONAL neural networks; *COMPUTER-aided diagnosis; *IMAGE analysis

• Source: European Radiology. Sep2024, Vol. 34 Issue 9, p6182-6192. 11p.

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Computer-aided diagnosis for screening of lower extremity lymphedema in pelvic computed tomography images using deep learning.

• Authors : Nomura, Yukihiro¹ (AUTHOR) ; Hoshiyama, Masato² (AUTHOR); Akita, Shinsuke³ (AUTHOR)

Subjects: *COMPUTER-aided diagnosis; *DEEP learning; *MEDICAL screening

• Source: Scientific Reports. 9/27/2023, Vol. 13 Issue 1, p1-8. 8p.

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胸部增强CT 不同重组算法深度学习诊断 肺结节良恶性.

• Authors : 沈晶¹; 林琳¹; 刘文飞¹

Subjects: *COMPUTER-aided diagnosis; *RECEIVER operating characteristic curves; *DEEP learningBEIJING (China)

• Source: Diagnostic Imaging & Interventional Radiology. 2/25/2021, Vol. 30 Issue 1, p25-28. 4p.

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