Computer-Aided Detection of Breast Cancer – Have All Bases Been Covered? by Gautam S. Muralidhar, Tamara Miner Haygood, Tanya W. Stephens, Gary J. Whitman, Alan C. Bovik, Mia K. Markey

Subjects: “…Computer-aided detection…”
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Computer aided diabetic retinopathy detection based on ophthalmic photography: a systematic review and Meta-analysis by Hui-Qun Wu, Yan-Xing Shan, Huan Wu, Di-Ru Zhu, Hui-Min Tao, Hua-Gen Wei, Xiao-Yan Shen, Ai-Min Sang, Jian-Cheng Dong

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Early detection of Cancer using Mammograms with Advanced Artificial Intelligence (AI) Algorithms for Breast lesions by Imran Majeed, Rimsha Ashiq, Faiza Imran, Ayza Nadeem, Bushra Nasir

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Validation of Artificial Intelligence Computer-Aided Detection of Colonic Neoplasm in Colonoscopy by Hannah Lee, Jun-Won Chung, Kyoung Oh Kim, Kwang An Kwon, Jung Ho Kim, Sung-Cheol Yun, Sung Woo Jung, Ahmad Sheeraz, Yeong Jun Yoon, Ji Hee Kim, Mohd Azzam Kayasseh

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Evaluation of Computer-Aided Detection (CAD) in Screening Automated Breast Ultrasound Based on Characteristics of CAD Marks and False-Positive Marks by Jeongmin Lee, Bong Joo Kang, Sung Hun Kim, Ga Eun Park

Subjects: “…computer-aided detection…”
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Pulmonary Nodules Detection Based on Deformable Convolution by Junhua Gu, Zepei Tian, Yongjun Qi

Subjects: “…Computer-aided detection…”
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Segmenting welding flaws of non-horizontal shape by Doaa Radi, Mohy Eldin A Abo-Elsoud, Fahmi Khalifa

Subjects: “…Computer-aided detection…”
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Diagnostic accuracy of a commercially available, deep learning-based chest X-ray interpretation software for detecting culture-confirmed pulmonary tuberculosis by Gamuchirai Tavaziva, Arman Majidulla, Ahsana Nazish, Saima Saeed, Andrea Benedetti, Aamir J. Khan, Faiz Ahmad Khan

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Does computer-aided diagnostic endoscopy improve the detection of commonly missed polyps? A meta-analysis by Arun Sivananthan, Scarlet Nazarian, Lakshmana Ayaru, Kinesh Patel, Hutan Ashrafian, Ara Darzi, Nisha Patel

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MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection by Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider

Subjects: “…Computer-aided detection…”
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Computer-aided diagnosis of glaucoma using fundus images : a review by Hagiwara, Yuki, Koh, Joel En Wei, Tan, Jen Hong, Bhandary, Sulatha V., Laude, Augustinus, Ciaccio, Edward J., Tong, Louis, Acharya, U. Rajendra

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Improved computer-aided detection of pulmonary nodules via deep learning in the sinogram domain by Yongfeng Gao, Jiaxing Tan, Zhengrong Liang, Lihong Li, Yumei Huo

Subjects: “…Computer-aided detection…”
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COMPUTER-AIDED DETECTION OF ACINAR SHADOWS IN CHEST RADIOGRAPHS by Tao Xu, Irene Cheng, Richard Long, Mrinal Mandal

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A computer-aided system improves the performance of endoscopists in detecting colorectal polyps: a multi-center, randomized controlled trial by Heng Zhang, Qi Wu, Jing Sun, Jing Wang, Lei Zhou, Wei Cai, Duowu Zou

Subjects: “…computer-aided detection…”
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Breast Region Segmentation and Pectoral Muscle Removal in Mammograms by M. Slavković-Ilić, .A. Gavrovska, M. Milivojević, I. Reljin, B. Reljin

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Novel 3D Radiomic Features for Computer-Aided Polyp Detection in CT Colonography by Yacheng Ren, Yizhi Chen, Lin Lu, Jun Zhao

Subjects: “…Computer-aided detection…”
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Validation of Artificial Intelligence Computer-Aided Detection on Gastric Neoplasm in Upper Gastrointestinal Endoscopy by Hannah Lee, Jun-Won Chung, Sung-Cheol Yun, Sung Woo Jung, Yeong Jun Yoon, Ji Hee Kim, Boram Cha, Mohd Azzam Kayasseh, Kyoung Oh Kim

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PolyDeep Advance 1: Clinical Validation of a Computer-Aided Detection System for Colorectal Polyp Detection with a Second Observer Design by Pedro Davila-Piñón, Teresa Pedrido, Astrid Irene Díez-Martín, Jesús Herrero, Manuel Puga, Laura Rivas, Eloy Sánchez, Sara Zarraquiños, Noel Pin, Pablo Vega, Santiago Soto, David Remedios, Rubén Domínguez-Carbajales, Florentino Fdez-Riverola, Alba Nogueira-Rodríguez, Daniel Glez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Joaquín Cubiella

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Higher agreement between readers with deep learning CAD software for reporting pulmonary nodules on CT by H.L. Hempel, M.P. Engbersen, J. Wakkie, B.J. van Kelckhoven, W. de Monyé

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Development and performance evaluation of a deep learning lung nodule detection system by Shichiro Katase, Akimichi Ichinose, Mahiro Hayashi, Masanaka Watanabe, Kinka Chin, Yuhei Takeshita, Hisae Shiga, Hidekatsu Tateishi, Shiro Onozawa, Yuya Shirakawa, Koji Yamashita, Jun Shudo, Keigo Nakamura, Akihito Nakanishi, Kazunori Kuroki, Kenichi Yokoyama

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