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04/01/2023
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refineme
Breast cancer is a significant public health concern and early detection...
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07/08/2021
CASPIANET++: A Multidimensional Channel-Spatial Asymmetric Attention Network with Noisy Student Curriculum Learning Paradigm for Brain Tumor Segmentation
Convolutional neural networks (CNNs) have been used quite successfully f...
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12/28/2020
3D Axial-Attention for Lung Nodule Classification
Purpose: In recent years, Non-Local based methods have been successfully...
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12/17/2020
A new semi-supervised self-training method for lung cancer prediction
Background and Objective: Early detection of lung cancer is crucial as i...
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10/29/2020
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
Lung cancer classification in screening computed tomography (CT) scans i...
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10/09/2019
Cribriform pattern detection in prostate histopathological images using deep learning models
Architecture, size, and shape of glands are most important patterns used...
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04/23/2019
Lung Nodule Classification using Deep Local-Global Networks
Purpose: Lung nodules have very diverse shapes and sizes, which makes cl...
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01/01/2019