Vyzkoušejte nový nástroj s podporou AI
Summon Research Assistant
BETA
Multimodal convolutional neural network–based algorithm for real-time detection and differentiation of malignant and inflammatory biliary strictures in cholangioscopy: a proof-of-concept study (with video)
Ziegler, Joceline, Dobsch, Philipp, Rozema, Marten, Zuber-Jerger, Ina, Weigand, Kilian, Reuther, Stefan, Müller, Martina, Kandulski, Arne
Published in Gastrointestinal endoscopy (01.04.2025)
Published in Gastrointestinal endoscopy (01.04.2025)
Get full text
Journal Article
DEEP Q-NAS: A new algorithm based on neural architecture search and reinforcement learning for brain tumor identification from MRI
Hasan, Md Sabid, Komol, Md Mostafizur Rahman, Fahim, Faiyaz, Islam, Jahirul, Pervin, Tanjina, Hasan, Md Mahbub
Published in Computers in biology and medicine (01.09.2025)
Published in Computers in biology and medicine (01.09.2025)
Get full text
Journal Article
Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density
Bossuyt, Peter, Nakase, Hiroshi, Vermeire, Séverine, de Hertogh, Gert, Eelbode, Tom, Ferrante, Marc, Hasegawa, Tadashi, Willekens, Hilde, Ikemoto, Yousuke, Makino, Takao, Bisschops, Raf
Published in Gut (01.10.2020)
Published in Gut (01.10.2020)
Get full text
Journal Article
Computer-aided segmentation on MRI for prostate radiotherapy, part II: Comparing human and computer observer populations and the influence of annotator variability on algorithm variability
Sanders, Jeremiah W., Mok, Henry, Hanania, Alexander N., Venkatesan, Aradhana M., Tang, Chad, Bruno, Teresa L., Thames, Howard D., Kudchadker, Rajat J., Frank, Steven J.
Published in Radiotherapy and oncology (01.04.2022)
Published in Radiotherapy and oncology (01.04.2022)
Get full text
Journal Article
A novel machine learning-based algorithm to identify and classify lesions and anatomical landmarks in colonoscopy images
Jheng, Ying-Chun, Wang, Yen-Po, Lin, Hung-En, Sung, Kuang-Yi, Chu, Yuan-Chia, Wang, Huann-Sheng, Jiang, Jeng-Kai, Hou, Ming-Chih, Lee, Fa-Yauh, Lu, Ching-Liang
Published in Surgical endoscopy (01.01.2022)
Published in Surgical endoscopy (01.01.2022)
Get full text
Journal Article
Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study
Maghami, Masoud, Sattari, Shahab Aldin, Tahmasbi, Marziyeh, Panahi, Pegah, Mozafari, Javad, Shirbandi, Kiarash
Published in Biomedical engineering online (04.12.2023)
Published in Biomedical engineering online (04.12.2023)
Get full text
Journal Article
Modified Map-Seeking Circuit: Use of Computer-Aided Detection in Locating Postoperative Retained Foreign Bodies
Asiyanbola, Bolanle, M.D., M.R.C.S, Cheng-Wu, Chao, Ph.D, Lewin, Jonathan S., M.D, Etienne-Cummings, Ralph, Ph.D
Published in The Journal of surgical research (15.06.2012)
Published in The Journal of surgical research (15.06.2012)
Get full text
Journal Article
Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
Iakovidis, Dimitris K., Georgakopoulos, Spiros V., Vasilakakis, Michael, Koulaouzidis, Anastasios, Plagianakos, Vassilis P.
Published in IEEE transactions on medical imaging (01.10.2018)
Published in IEEE transactions on medical imaging (01.10.2018)
Get full text
Journal Article
Strategies to reduce diagnostic errors: a systematic review
Abimanyi-Ochom, Julie, Bohingamu Mudiyanselage, Shalika, Catchpool, Max, Firipis, Marnie, Wanni Arachchige Dona, Sithara, Watts, Jennifer J.
Published in BMC medical informatics and decision making (30.08.2019)
Published in BMC medical informatics and decision making (30.08.2019)
Get full text
Journal Article
Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review
Hansun, Seng, Argha, Ahmadreza, Bakhshayeshi, Ivan, Wicaksana, Arya, Alinejad-Rokny, Hamid, Fox, Greg J, Liaw, Siaw-Teng, Celler, Branko G, Marks, Guy B
Published in Journal of medical Internet research (07.03.2025)
Published in Journal of medical Internet research (07.03.2025)
Get full text
Journal Article
A fluorescein angiography-based computer-aided algorithm for assessing the retinal vasculature in diabetic retinopathy
Abbasnejad, Amir, Tomkins-Netzer, Oren, Winter, Aaron, Friedman, Alon, Cruess, Alan, Serlin, Yonatan, Levy, Jaime
Published in Eye (London) (01.05.2023)
Published in Eye (London) (01.05.2023)
Get full text
Journal Article
Untangling Computer-Aided Diagnostic System for Screening Diabetic Retinopathy Based on Deep Learning Techniques
Farooq, Muhammad Shoaib, Arooj, Ansif, Alroobaea, Roobaea, Baqasah, Abdullah M., Jabarulla, Mohamed Yaseen, Singh, Dilbag, Sardar, Ruhama
Published in Sensors (Basel, Switzerland) (24.02.2022)
Published in Sensors (Basel, Switzerland) (24.02.2022)
Get full text
Journal Article
Deep Convolutional Neural Network–Based Computer-Aided Detection System for COVID-19 Using Multiple Lung Scans: Design and Implementation Study
Ghaderzadeh, Mustafa, Asadi, Farkhondeh, Jafari, Ramezan, Bashash, Davood, Abolghasemi, Hassan, Aria, Mehrad
Published in Journal of medical Internet research (26.04.2021)
Published in Journal of medical Internet research (26.04.2021)
Get full text
Journal Article