AIMC Topic: Neoplasm Grading
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Biomarker profiling and integrating heterogeneous models for enhanced multi-grade breast cancer prognostication.
Computer methods and programs in biomedicine
Jul 22, 2024
BACKGROUND: Breast cancer remains a leading cause of female mortality worldwide, exacerbated by limited awareness, inadequate screening resources, and treatment options. Accurate and early diagnosis is crucial for improving survival rates and effecti...
Artificial Intelligence-Based Histopathological Subtyping of High-Grade Serous Ovarian Cancer.
The American journal of pathology
Jul 19, 2024
Four subtypes of ovarian high-grade serous carcinoma (HGSC) have previously been identified, each with different prognoses and drug sensitivities. However, the accuracy of classification depended on the assessor's experience. This study aimed to deve...
Enhancing Prostate Cancer Diagnosis: Artificial Intelligence-Driven Virtual Biopsy for Optimal Magnetic Resonance Imaging-Targeted Biopsy Approach and Gleason Grading Strategy.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jul 17, 2024
An optimal approach to magnetic resonance imaging fusion targeted prostate biopsy (PBx) remains unclear (number of cores, intercore distance, Gleason grading [GG] principle). The aim of this study was to develop a precise pixel-wise segmentation diag...
Evaluation of Artificial Intelligence-Based Gleason Grading Algorithms "in the Wild".
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Jul 16, 2024
The biopsy Gleason score is an important prognostic marker for prostate cancer patients. It is, however, subject to substantial variability among pathologists. Artificial intelligence (AI)-based algorithms employing deep learning have shown their abi...
External validation of an artificial intelligence model for Gleason grading of prostate cancer on prostatectomy specimens.
BJU international
Jul 11, 2024
OBJECTIVES: To externally validate the performance of the DeepDx Prostate artificial intelligence (AI) algorithm (Deep Bio Inc., Seoul, South Korea) for Gleason grading on whole-mount prostate histopathology, considering potential variations observed...
Applications of machine learning to MR imaging of pediatric low-grade gliomas.
Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
Jul 8, 2024
INTRODUCTION: Machine learning (ML) shows promise for the automation of routine tasks related to the treatment of pediatric low-grade gliomas (pLGG) such as tumor grading, typing, and segmentation. Moreover, it has been shown that ML can identify cru...
Using multi-label ensemble CNN classifiers to mitigate labelling inconsistencies in patch-level Gleason grading.
PloS one
Jul 5, 2024
This paper presents a novel approach to enhance the accuracy of patch-level Gleason grading in prostate histopathology images, a critical task in the diagnosis and prognosis of prostate cancer. This study shows that the Gleason grading accuracy can b...
Deep learning-based image quality assessment: impact on detection accuracy of prostate cancer extraprostatic extension on MRI.
Abdominal radiology (New York)
Jul 3, 2024
OBJECTIVE: To assess impact of image quality on prostate cancer extraprostatic extension (EPE) detection on MRI using a deep learning-based AI algorithm.
Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer.
Abdominal radiology (New York)
Jun 19, 2024
PURPOSE: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted images and evaluate TZ-PSAD for prediction of the presence of csPCa (Gleason score of 7 or higher) compared to PSAD.
Deep Learning for Grading Endometrial Cancer.
The American journal of pathology
Jun 13, 2024
Endometrial cancer is the fourth most common cancer in women in the United States, with a lifetime risk of approximately 2.8%. Precise histologic evaluation and molecular classification of endometrial cancer are important for effective patient manage...
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