Improved accuracy in optical diagnosis of colorectal polyps using convolutional neural networks with visual explanations

EH Jin, D Lee, JH Bae, HY Kang, MS Kwak, JY Seo… - Gastroenterology, 2020 - Elsevier
… with an interpretable explanation could improve both the optical diagnostic accuracy and
diagnostic speed regardless of endoscopic experience. The diagnostic accuracy increased …

Multi-step validation of a deep learning-based system with visual explanations for optical diagnosis of polyps with advanced features

QW Zhang, Z Zhang, J Xu, ZH Dai, R Zhao, J Huang… - Iscience, 2024 - cell.com
optical diagnosis. Recent developments in computer-aided diagnosis have contributed to
diagnostic … been shown to enhance diagnostic accuracy by the use of artificial intelligence (AI). …

[HTML][HTML] A Method for Ocular Disease Diagnosis through Visual Prediction Explainability

A Santone, M Cesarelli, E Colasuonno, V Bevilacqua… - Electronics, 2024 - mdpi.com
… damage to the optic nerve and, consequently, to the visual field with the alteration of the optic
disc to … This step aims to provide visual explanations for the model’s predictions. Grad-CAM …

Deepopht: medical report generation for retinal images via deep models and visual explanation

JH Huang, CHH Yang, F Liu, M Tian… - Proceedings of the …, 2021 - openaccess.thecvf.com
diagnosis method in the ophthalmology expert domain. It contains DNN-based and DNN Visual
explanation … and optic disc; (ii) Image level disease severity grading of DR, and DME; (iii) …

[HTML][HTML] Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis

QEW van der Zander, RM Schreuder, R Fonollà… - …, 2021 - thieme-connect.com
… Grad-CAM: Visual explanations from deep networks via gradient-based localization.
Proceedings of the IEEE International Conference on Computer Vision (ICCV); 2017 Oct 22–29; …

Computer-Aided diagonosis for colorectal cancer using deep learning with visual explanations

K Choi, SJ Choi, ES Kim - … of the IEEE engineering in Medicine …, 2020 - ieeexplore.ieee.org
… and build a computer-aided diagnostic (CAD) system. Deep … support the clinically efficient
optical biopsy by predicting the … To adapt the existing CNN models for colorectal diagnosis, …

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

G Quellec, H Al Hajj, M Lamard, PH Conze… - Medical Image …, 2021 - Elsevier
… Early diagnosis is key to slowing down the progression of DR and therefore preventing
the occurrence of blindness. Annual retinal screening, generally using Color Fundus …

Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer

D Zhou, F Tian, X Tian, L Sun, X Huang, F Zhao… - Nature …, 2020 - nature.com
Visual explanation We used Grad-CAM 21 to derive visual explanation by localizing the
image area that most influences the decision made by CRCNet. We also used Guided Grad-…

ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions

A Lucieri, MN Bajwa, SA Braun, MI Malik… - Computer Methods and …, 2022 - Elsevier
diagnosis suggestion is provided, supported by concept-based textual, quantitative, and
visual explanations. … are not biased towards the proposed diagnosis but are free to reconstruct …

Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis

ST Kim, JH Lee, YM Ro - … 2019: Computer-Aided Diagnosis, 2019 - spiedigitallibrary.org
… could provide a reasonable explanation of diagnostic decisions. In this … visual evidence of
the diagnostic decisions of CADx. The proposed deep network is designed to include a visual