Deep Learning for identifying radiogenomic associations in breast cancer

29 November 2017

Papers citing "Deep Learning for identifying radiogenomic associations in breast cancer"

7 / 7 papers shown

Title
D-Cube: Exploiting Hyper-Features of Diffusion Model for Robust Medical Classification Minhee Jang Juheon Son Thanaporn Viriyasaranon Junho Kim Jang-Hwan Choi MedIm 34 0 0 17 Nov 2024
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition Mengjiao Hu Xudong Jiang K. Sim J. Zhou Cuntai Guan 18 0 0 21 Nov 2022
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 40 638 0 22 Jul 2021
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Network Jun Wang Qianying Liu Haotian Xie Zhaogang Yang Hefeng Zhou MedIm 19 77 0 10 Oct 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
A scoping review of transfer learning research on medical image analysis using ImageNet M. Morid Alireza Borjali G. Fiol 30 362 0 27 Apr 2020
Deep learning in radiology: an overview of the concepts and a survey of the state of the art Maciej A. Mazurowski Mateusz Buda Ashirbani Saha Mustafa R. Bashir MedIm AI4CE 21 430 0 10 Feb 2018