AIMC Topic: Biopsy
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Engineering the future of 3D pathology.
The journal of pathology. Clinical research
Nov 2, 2023
In recent years, technological advances in tissue preparation, high-throughput volumetric microscopy, and computational infrastructure have enabled rapid developments in nondestructive 3D pathology, in which high-resolution histologic datasets are ob...
Percutaneous Robotics in Interventional Radiology.
Techniques in vascular and interventional radiology
Oct 20, 2023
The accuracy of the robotic device not only relies on a reproducible needle advancement, but also on the possibility to correct target movement at chosen checkpoints and to deviate from a linear to a nonlinear trajectory. We report our experience in ...
Development of a novel combined nomogram model integrating deep learning radiomics to diagnose IgA nephropathy clinically.
Renal failure
Oct 20, 2023
This study aimed to develop and validate a combined nomogram model based on superb microvascular imaging (SMI)-based deep learning (DL), radiomics characteristics, and clinical factors for noninvasive differentiation between immunoglobulin A nephropa...
Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo.
Cell
Oct 19, 2023
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integ...
Development of an automated estimation of foot process width using deep learning in kidney biopsies from patients with Fabry, minimal change, and diabetic kidney diseases.
Kidney international
Sep 27, 2023
Podocyte injury plays a key role in pathogenesis of many kidney diseases with increased podocyte foot process width (FPW), an important measure of podocyte injury. Unfortunately, there is no consensus on the best way to estimate FPW and unbiased ster...
Improved accuracy in colorectal cancer tissue decomposition through refinement of established deep learning solutions.
Scientific reports
Sep 23, 2023
Hematoxylin and eosin-stained biopsy slides are regularly available for colorectal cancer patients. These slides are often not used to define objective biomarkers for patient stratification and treatment selection. Standard biomarkers often pertain t...
The use of deep learning state-of-the-art architectures for oral epithelial dysplasia grading: A comparative appraisal.
Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
Sep 15, 2023
BACKGROUND: Dysplasia grading systems for oral epithelial dysplasia are a source of disagreement among pathologists. Therefore, machine learning approaches are being developed to mitigate this issue.
Domain and Histopathology Adaptations-Based Classification for Malignancy Grading System.
The American journal of pathology
Sep 9, 2023
Accurate proliferation rate quantification can be used to devise an appropriate treatment for breast cancer. Pathologists use breast tissue biopsy glass slides stained with hematoxylin and eosin to obtain grading information. However, this manual eva...
Artificial Intelligence-Based Tool for Tumor Detection and Quantitative Tissue Analysis in Colorectal Specimens.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Sep 6, 2023
Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. Our study aimed to develop a clinical-grade artificial intelligence (AI) tool for precise multiclass tissue segmentation in colorectal specimens (rese...
Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.
Academic radiology
Sep 2, 2023
RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breast ultrasound images as benign or malignant. More specifically, the application of vision transformers, ensemble learning, and knowledge distillation i...
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