Results 111 to 120 of about 1,217,238 (259)

Heterogeneity Analyzed by CT‐Based Habitat Analysis for Clinical Management of Cancers: A Narrative Review

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Tumors are highly heterogeneous, and whole‐lesion radiomics analysis is a popular method for extracting texture features that reflect this heterogeneity, which can be used to build models for cancer diagnosis, staging, therapy response evaluation, and prognosis prediction.
Yang Zhang, Zhi‐Yan Jin, Min‐Ying Lydia Su   +2 more
wiley   +1 more source

Data‐Independent Acquisition Mass Spectrometry in Tumor Classification and Cancer Biomarker Research

Mass Spectrometry Reviews, EarlyView.
Abstract Cancer treatment is far from optimal also because current classification systems do not reflect the complex molecular status of the tumor and its phenotype in sufficient detail. To construct molecular tumor classifiers, omics tools provide complex molecular data reflecting many aspects from genotype to phenotype.
Jan Simonik, Petr Lapcik, Pavla Bouchalova, Pavel Bouchal   +3 more
wiley   +1 more source

Large Language Model Benchmarks in Medical Tasks

Medicine Advances, EarlyView.
This survey provides a comprehensive review of benchmark datasets for evaluating large language models in medical tasks, spanning text, image, and multimodal modalities, and covering key resources including MIMIC‐III/IV, BioASQ, PubMedQA, and CheXpert.
Lawrence K. Q. Yan, Qian Niu, Ming Li, Yichao Zhang, Caitlyn Heqi Yin, Cheng Fei, Benji Peng, Ziqian Bi, Pohsun Feng, Keyu Chen, Tianyang Wang, Yunze Wang, Silin Chen, Ming Liu, Junyu Liu, Xinyuan Song, Riyang Bao, Zekun Jiang, Ziyuan Qin   +18 more
wiley   +1 more source

Fully Automated Segmentation of Lung Parenchyma Using Break and Repair Strategy

Journal of Intelligent Systems, 2019
The traditional segmentation methods available for pulmonary parenchyma are not accurate because most of the methods exclude nodules or tumors adhering to the lung pleural wall as fat.
Kumar S. Pramod, Latte Mrityunjaya V.
doaj   +1 more source

Intersection of systemic lupus erythematosus and autoimmune thyroid disease: Shared pathophysiology, epidemiology, diagnosis, and management

Rheumatology &Autoimmunity, EarlyView.
A proposed mechanistic framework of systemic lupus erythematosus (SLE) and autoimmune thyroid disease (AITD) pathogenesis. In Stage 1, genetically susceptible individuals harbor risk variants within major histocompatibility complex (HLA) and non‐HLA loci that impair central and peripheral immune tolerance mechanisms within the thymic and peripheral ...
Elisa Elisa, Awalia Awalia, Deasy Ardiany, Henry Sutanto   +3 more
wiley   +1 more source

Design, Evaluation and Implementation of a Pipeline for Semi-Automatic Lung Nodule Segmentation

, 2016
Lung cancer is the most common type of cancer in the world and always manifests as lung nodules. Nodules are small tumors that consist of lung tissue. They are usually spherical in shape and their cores can be either solid or subsolid. Nodules are common
Berglin, Lukas
core   +2 more sources

What can be done virtually? A modified Delphi study offering guidance on virtual companion animal physical examinations

Veterinary Record, EarlyView.
Abstract Background The inability to adopt a hands‐on approach can be viewed as a limitation to provide veterinary care virtually. The objective of this study was to establish guidance to support the remote delivery of a companion animal physical examination by video. Methods A modified approach to the Delphi method was followed.
Rosalie Fortin‐Choquette, Jason B. Coe, Cathy Bauman, Lori M. Teller   +3 more
wiley   +1 more source

CT‐derived quantitative imaging metrics for pathological assessment of stage I pulmonary invasive adenocarcinoma: For the diagnostic examination, uAI Intelligent Imaging System was employed

VIEW, EarlyView.
This study explored uAI‐derived quantitative CT features for pathological grading of stage‐I invasive lung adenocarcinoma. Using 5‐fold cross‐validation, the Random Forest model achieved optimal discriminatory performance (mean AUC = 0.799). Attenuation and texture CT features enable non‐invasive grading and may assist clinical decision‐making ...
Qilong Wang, Wenjian Wang
wiley   +1 more source

Small but Strong: Lightweight Architecture Improves Lung Nodule Detection and Segmentation

Advanced Intelligent Systems
Lung nodule detection and segmentation from computed tomography (CT) scans are essential for lung cancer diagnosis and therapy. Inspired by the substantial progress of neural networks in 2D natural images, current methods often adapt 2D networks to 3D ...
Lilu Liu, Xiuping Nie, Haojian Lu, Jian Hu, Qi Dou, Rong Xiong, Yue Wang   +6 more
doaj   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source