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08/27/2023
Post-Hoc Explainability of BI-RADS Descriptors in a Multi-task Framework for Breast Cancer Detection and Segmentation
Despite recent medical advancements, breast cancer remains one of the mo...
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08/04/2023
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Capturing global contextual information plays a critical role in breast ...
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01/28/2023
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Cancer is a term that denotes a group of diseases caused by abnormal gro...
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01/24/2023
Enhanced Sharp-GAN For Histopathology Image Synthesis
Histopathology image synthesis aims to address the data shortage issue i...
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09/02/2022
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis
Existing deep networks for histopathology image synthesis cannot generat...
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05/02/2022
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
Robust self-training (RST) can augment the adversarial robustness of ima...
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01/13/2022
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Deep learning-based computer-aided diagnosis has achieved unprecedented ...
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10/27/2021
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis
Existing deep learning-based approaches for histopathology image analysi...
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10/27/2021
TA-Net: Topology-Aware Network for Gland Segmentation
Gland segmentation is a critical step to quantitatively assess the morph...
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10/05/2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images
In healthcare, it is essential to explain the decision-making process of...
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09/30/2021
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images
Separating overlapped nuclei is a major challenge in histopathology imag...
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06/14/2021
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
Recent research on the application of remote sensing and deep learning-b...
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03/04/2021
Evaluation of Complexity Measures for Deep Learning Generalization in Medical Image Analysis
The generalization performance of deep learning models for medical image...
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02/03/2020
Stan: Small tumor-aware network for breast ultrasound image segmentation
Breast tumor segmentation provides accurate tumor boundary, and serves a...
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02/03/2020
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images
Separating overlapped nuclei is a major challenge in histopathology imag...
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10/20/2019