Results 41 to 50 of about 5,543,646 (278)
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)ISIB ...
Sheng He +3 more
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Clinically Interpretable Nuclei Segmentation for Robust Histopathological Image Analysis
Applied SciencesBackground/Objectives: Accurate nuclear segmentation is a fundamental step in computational pathology, enabling reliable estimation of cellularity and nuclear morphology. However, segmentation models are typically evaluated under ideal imaging conditions,
Liana Stanescu, Cosmin Stoica Spahiu
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Segmentation of skin cancer using Fuzzy U-network via deep learning
Measurement: Sensors, 2023 The most common cancer in the world is skin cancer. In recent years, one of the most important challenges to public health has been melanoma, the most dangerous type of skin cancer. In this paper, a novel MFO-Fuzzy U net has been proposed to segmentation
A. Bindhu, K.K. Thanammal
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Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations
CoRR, 2019 Data-driven models for audio source separation such as U-Net or Wave-U-Net are usually models dedicated to and specifically trained for a single task, e.g. a particular instrument isolation. Training them for various tasks at once commonly results in worse performances than training them for a single specialized task.
Meseguer-Brocal, Gabriel +1 more
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U-net weights for brain segmentation
, 2018 U-net weights for U ...
Brian Avants (418551) +1 more
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BioengineeringAccurate segmentation of renal anatomical structures is essential for informed clinical decision-making in nephropathology, supporting precise diagnosis, treatment planning, and longitudinal monitoring of kidney diseases. In this work, we propose an Edge-
Esraa Hassan +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
U-Net for leaf vein segmentation.
, 2023 Images of the high-quality dataset (A) were converted to grayscale images and masked vein images were generated by conventional image processing with contrast enhancement and binarization (B) to prepare a training dataset.
Kohei Iwamasa (16624443) +1 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source