Modality specific U-Net variants for biomedical image segmentation: a survey
With the advent of advancements in deep learning approaches, such as deep convolution
neural network, residual neural network, adversarial network; U-Net architectures are most …
neural network, residual neural network, adversarial network; U-Net architectures are most …
Cost-sensitive learning for imbalanced medical data: a review
Abstract Integrating Machine Learning (ML) in medicine has unlocked many opportunities to
harness complex medical data, enhancing patient outcomes and advancing the field …
harness complex medical data, enhancing patient outcomes and advancing the field …
Deep learning approaches to landmark detection in tsetse wing images
Morphometric analysis of wings has been suggested for identifying and controlling isolated
populations of tsetse (Glossina spp), vectors of human and animal trypanosomiasis in Africa …
populations of tsetse (Glossina spp), vectors of human and animal trypanosomiasis in Africa …
Rethinking automatic segmentation of gross target volume from a decoupling perspective
Accurate and reliable segmentation of Gross Target Volume (GTV) is critical in cancer
Radiation Therapy (RT) planning, but manual delineation is time-consuming and subject to …
Radiation Therapy (RT) planning, but manual delineation is time-consuming and subject to …
DeepProjection: Specific and robust projection of curved 2D tissue sheets from 3D microscopy using deep learning
D Haertter, X Wang, SM Fogerson… - …, 2022 - journals.biologists.com
The efficient extraction of image data from curved tissue sheets embedded in volumetric
imaging data remains a serious and unsolved problem in quantitative studies of …
imaging data remains a serious and unsolved problem in quantitative studies of …
A corneal ulcer segmentation approach using U-Net and stepwise fine-tuning
HMBF Portela, RMS Veras, LHS Vogado… - Computer Methods in …, 2024 - Taylor & Francis
Corneal Ulcers are defined as inflammation or even infection. They are one of the most
frequent diseases that affect eye health. The proper measurement of corneal ulcer lesions …
frequent diseases that affect eye health. The proper measurement of corneal ulcer lesions …
Minimum recall-based loss function for imbalanced time series classification
This paper deals with imbalanced time series classification problems. In particular, we
propose to learn time series classifiers that maximize the minimum recall of the classes …
propose to learn time series classifiers that maximize the minimum recall of the classes …
MMSeg: A novel multi-task learning framework for class imbalance and label scarcity in medical image segmentation
Semi-supervised medical image segmentation can effectively alleviate the high costs
associated with obtaining high-quality labels and issues related to data privacy. However …
associated with obtaining high-quality labels and issues related to data privacy. However …
A skeleton context-aware 3D fully convolutional network for abdominal artery segmentation
R Zhu, M Oda, Y Hayashi, T Kitasaka, K Misawa… - International Journal of …, 2023 - Springer
Purpose This paper aims to propose a deep learning-based method for abdominal artery
segmentation. Blood vessel structure information is essential to diagnosis and treatment …
segmentation. Blood vessel structure information is essential to diagnosis and treatment …
DeepProjection: Rapid and structure-specific projections of tissue sheets embedded in 3D microscopy stacks using deep learning
The efficient extraction of local high-resolution content from massive amounts of imaging
data remains a serious and unsolved problem in studies of complex biological tissues. Here …
data remains a serious and unsolved problem in studies of complex biological tissues. Here …