research
∙
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...
share
research
∙
08/04/2023
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Capturing global contextual information plays a critical role in breast ...
research
∙
05/16/2023
Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model
Medical image segmentation is a critical step in computer-aided diagnosi...
research
∙
03/09/2023
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
The click-based interactive segmentation aims to extract the object of i...
research
∙
01/24/2023
Enhanced Sharp-GAN For Histopathology Image Synthesis
Histopathology image synthesis aims to address the data shortage issue i...
research
∙
10/24/2022
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network
U-Net and its extended segmentation model have achieved great success in...
research
∙
09/02/2022
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis
Existing deep networks for histopathology image synthesis cannot generat...
research
∙
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...
research
∙
01/13/2022
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Deep learning-based computer-aided diagnosis has achieved unprecedented ...
research
∙
10/27/2021
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis
Existing deep learning-based approaches for histopathology image analysi...
research
∙
10/27/2021
TA-Net: Topology-Aware Network for Gland Segmentation
Gland segmentation is a critical step to quantitatively assess the morph...
research
∙
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...
research
∙
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...
research
∙
04/12/2021
Understanding Fission Gas Bubble Distribution, Lanthanide Transportation, and Thermal Conductivity Degradation in Neutron-irradiated α-U Using Machine Learning
UZr based metallic nuclear fuel is the leading candidate for next-genera...
research
∙
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...
research
∙
02/24/2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Liver segmentation from abdominal CT images is an essential step for liv...
research
∙
09/27/2020
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Breast tumor segmentation is a critical task in computer-aided diagnosis...
research
∙
02/03/2020
Stan: Small tumor-aware network for breast ultrasound image segmentation
Breast tumor segmentation provides accurate tumor boundary, and serves a...
research
∙
02/03/2020
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images
Separating overlapped nuclei is a major challenge in histopathology imag...
research
∙
10/23/2019
Breast Anatomy Enriched Tumor Saliency Estimation
Breast cancer investigation is of great significance, and developing tum...
research
∙
10/20/2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images
Incorporating human expertise and domain knowledge is particularly impor...
research
∙
06/18/2019
Tumor Saliency Estimation for Breast Ultrasound Images via Breast Anatomy Modeling
Tumor saliency estimation aims to localize tumors by modeling the visual...
research
∙
06/27/2018
A Hybrid Framework for Tumor Saliency Estimation
Automatic tumor segmentation of breast ultrasound (BUS) image is quite c...
research
∙
06/27/2018
Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices
Optimal scheduling of hydrogen production in dynamic pricing power marke...
research
∙
02/13/2018
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey
Osteoarthritis (OA) is one of the major health issues among the elderly ...
research
∙
01/09/2018
A Benchmark for Breast Ultrasound Image Segmentation (BUSIS)
Breast ultrasound (BUS) image segmentation is challenging and critical f...
research
∙
04/04/2017
Automatic Breast Ultrasound Image Segmentation: A Survey
Breast cancer is one of the leading causes of cancer death among women w...
research
∙
12/19/2015
Neutro-Connectedness Cut
Interactive image segmentation is a challenging task and receives increa...
research
∙
07/11/2015