Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Download full-text PDF

Source
http://dx.doi.org/10.1016/S1470-2045(24)00709-5DOI Listing

Publication Analysis

Top Keywords

classification tumours
4
tumours evolution
4
evolution global
4
global resource
4
resource molecular
4
molecular era
4
classification
1
evolution
1
global
1
resource
1

Similar Publications

Background: High-grade astrocytoma with piloid features (HGAP) was recently added to the WHO 2021 CNS classification system among the group of circumscribed astrocytic gliomas. These tumors present with high-grade piloid histology with similarities to glioblastoma. HGAPs in the pineal region become particularly challenging due to its deep location and proximity to deep venous structures, the midbrain, and the thalamus.

View Article and Find Full Text PDF

Purpose: To develop and validate a deep learning-based model for automated evaluation of mammography phantom images, with the goal of improving inter-radiologist agreement and enhancing the efficiency of quality control within South Korea's national accreditation system.

Materials And Methods: A total of 5,917 mammography phantom images were collected from the Korea Institute for Accreditation of Medical Imaging (KIAMI). After preprocessing, 5,813 images (98.

View Article and Find Full Text PDF

Cervical cancer remains a significant cause of female mortality worldwide, primarily due to abnormal cell growth in the cervix. This study proposes an automated classification method to enhance detection accuracy and efficiency, addressing contrast and noise issues in traditional diagnostic approaches. The impact of image enhancement on classification performance is evaluated by comparing transfer learning-based Convolutional Neural Network (CNN) models trained on both original and enhanced images.

View Article and Find Full Text PDF

Myoepithelial Carcinoma Ex-Pleomorphic Adenoma Exposing a RET Germline Mutation: A Rare Genetic Event.

Head Neck Pathol

September 2025

Department of Laboratory Medicine and Pathology, Mayo Clinic, 4500 San Pablo Road, Jacksonville, FL, 32224, USA.

Myoepithelial carcinoma (MECA) is a malignant neoplasm composed exclusively of myoepithelial cells and accounts for less than 1% of all salivary gland tumors. Its diagnosis is often challenging due to histologic overlaps with benign lesions and its variable morphologic presentation. Although molecular profiling has emerged as a valuable tool in salivary gland tumor classification, the genetic landscape of MECA remains incompletely defined.

View Article and Find Full Text PDF

ObjectiveTo evaluate the diagnostic performance of a combined model incorporating ultrasound video-based radiomics features and clinical variables for distinguishing between benign and malignant breast lesions.MethodsA total of 346 patients (173 benign and 173 malignant) were retrospectively enrolled. Breast ultrasound videos were acquired and processed using semi-automatic segmentation in 3D Slicer.

View Article and Find Full Text PDF