Results 121 to 130 of about 29,416,981 (354)

MAAUNet: Exploration of U-shaped encoding and decoding structure for semantic segmentation of medical image

open access: yesJournal of Measurement Science and Instrumentation, 2022
In view of the problems of multi-scale changes of segmentation targets, noise interference, rough segmentation results and slow training process faced by medical image semantic segmentation, a multi-scale residual aggregation U-shaped attention network ...
SHAO Shuo, GE Hongwei
doaj  

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

open access: yes, 2020
Although having achieved great success in medical image segmentation, deep learning-based approaches usually require large amounts of well-annotated data, which can be extremely expensive in the field of medical image analysis.
Yu, Zhiding   +9 more
core   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

open access: yesFEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas   +4 more
wiley   +1 more source

Medical image watermarking : a study on image degradation

open access: yes, 2005
Digital watermarking has been proposed to increase medical image security, confidentiality and integrity. Medical image watermarking is a special subcategory of image watermarking in the sense that the images have special requirements.
Maeder, Anthony   +2 more
core  

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation

open access: yesIEEE Transactions on Medical Imaging
Vision foundation models have shown great potential in improving generalizability and data efficiency, especially for medical image segmentation since medical image datasets are relatively small due to high annotation costs and privacy concerns. However,
Jia-Run Liu   +8 more
semanticscholar   +1 more source

Active contours with weighted external forces for medical image segmentation [PDF]

open access: yes
Parametric active contours have been widely used for image segmentation. However, high noise levels and weak edges are the most acute issues that hinder their performance, particularly in medical images.
Khadidos, Alaa   +2 more
core  

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

open access: yesFEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee   +2 more
wiley   +1 more source

SARFNet: Selective Layer and Axial Receptive Field Network for Multimodal Brain Tumor Segmentation

open access: yesApplied Sciences
Efficient magnetic resonance imaging (MRI) segmentation, which is helpful for treatment planning, is essential for identifying brain tumors from detailed images.
Bin Guo   +3 more
doaj   +1 more source

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