Results 21 to 30 of about 166,900 (293)

ESSENTIALS OF HISTOLOGY [PDF]

open access: yesThe American Journal of the Medical Sciences, 1902
n ...
openaire   +3 more sources

Modified task-based learning program promotes problem-solving capacity among Chinese medical postgraduates: a mixed quantitative survey

open access: yesBMC Medical Education, 2017
Background Despite great advances, China’s postgraduate education faces many problems, for example traditional lecture-based learning (LBL) method provides fewer oppotunities to apply knowledge in a working situation.
Yanping Tian   +10 more
doaj   +1 more source

Structural constrained virtual histology staining for human coronary imaging using deep learning [PDF]

open access: yesarXiv, 2022
Histopathological analysis is crucial in artery characterization for coronary artery disease (CAD). However, histology requires an invasive and time-consuming process. In this paper, we propose to generate virtual histology staining using Optical Coherence Tomography (OCT) images to enable real-time histological visualization.
arxiv  

Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma [PDF]

open access: yesarXiv, 2023
Most recently, the pathology diagnosis of cancer is shifting to integrating molecular makers with histology features. It is a urgent need for digital pathology methods to effectively integrate molecular markers with histology, which could lead to more accurate diagnosis in the real world scenarios. This paper presents a first attempt to jointly predict
arxiv  

Integrating Histologic and Genomic Characteristics to Predict Tumor Mutation Burden of Early-Stage Non-Small-Cell Lung Cancer

open access: yesFrontiers in Oncology, 2021
Tumor mutation burden (TMB) serves as an effective biomarker predicting efficacy of mono-immunotherapy for non-small cell lung cancer (NSCLC). Establishing a precise TMB predicting model is essential to select which populations are likely to respond to ...
Yuan Qiu   +23 more
doaj   +1 more source

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education [PDF]

open access: yesarXiv, 2022
Artificial intelligence methods including deep neural networks (DNN) can provide rapid molecular classification of tumors from routine histology with accuracy that matches or exceeds human pathologists. Discerning how neural networks make their predictions remains a significant challenge, but explainability tools help provide insights into what models ...
arxiv  

Virtual histology [PDF]

open access: yesHeart, 2007
As a luminogram, coronary angiography provides a good overview of the coronary artery tree. Using quantitative coronary measurements, the degree of coronary obstruction can be determined. The limitation of coronary angiography is that it does not provide information on the arterial wall structure and therefore cannot assess the extent of ...
König, Andreas, Klauss, Volker
openaire   +3 more sources

Histological skeletochronology indicates developmental plasticity in the early Permian stem lissamphibian Doleserpeton annectens

open access: yesEcology and Evolution, 2020
Doleserpeton annectens is a small‐bodied early Permian amphibamiform, a clade of temnospondyl amphibians regarded by many workers to be on the lissamphibian stem.
Bryan M. Gee   +2 more
doaj   +1 more source

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