Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Multiplex Imaging Analysis in Pathology: a Comprehensive Review on Analytical Approaches and Digital Toolkits

Conventional histopathology has long been essential for disease diagnosis, relying on visual inspe...

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images

Accurate survival prediction is essential for personalized cancer treatment. However, genomic data...

Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors

This study addresses the challenge of classifying cell shapes from noisy contours, such as those o...

Deep learning-based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images.

EGFR mutations are a major prognostic factor in lung adenocarcinoma. However, current detection meth...

Nov 2024 39358807
Assessing the impact of deep-learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes.

In recent years, it has become clear that artificial intelligence (AI) models can achieve high accur...

Nov 2024 39439213
Unveiling Varied Cell Death Patterns in Lung Adenocarcinoma Prognosis and Immunotherapy Based on Single-Cell Analysis and Machine Learning.

Programmed cell death (PCD) pathways hold significant influence in the etiology and progression of a...

Nov 2024 39602465
Advanced Hybrid Deep Learning Model for Enhanced Classification of Osteosarcoma Histopathology Images

Recent advances in machine learning are transforming medical image analysis, particularly in cance...

Going Beyond H&E and Oncology: How Do Histopathology Foundation Models Perform for Multi-stain IHC and Immunology?

This study evaluates the generalisation capabilities of state-of-the-art histopathology foundation...

Advancements in Nanoparticle-based Near-Infrared Fluorescence Probes for Cancer Specific Imaging Applications

Infrared (IR) dyes, especially those within the near-infrared (NIR) spectrum, offer substantial ad...

A holistic physics-informed neural network solution for precise destruction of breast tumors using focused ultrasound on a realistic breast model.

This study presented a novel approach for the precise ablation of breast tumors using focused ultras...

Oct 2024 39696866
Mechanical and suture-holding properties of a UV-cured atelocollagen membrane with varied crosslinked architecture

The mechanical competence and suturing ability of collagen-based membranes are paramount in Guided...

Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models

Leukemia, a severe form of blood cancer, claims thousands of lives each year. This study focuses o...

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records

Colonoscopy screening effectively identifies and removes polyps before they progress to colorectal...

Hespi: A pipeline for automatically detecting information from hebarium specimen sheets

Specimen associated biodiversity data are sought after for biological, environmental, climate, and...

Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks

Lymphoma diagnosis, particularly distinguishing between subtypes, is critical for effective treatm...

MyData: A Comprehensive Database of Mycetoma Tissue Microscopic Images for Histopathological Analysis

Mycetoma is a chronic and neglected inflammatory disease prevalent in tropical and subtropical reg...

Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking

With the significant advances in deep generative models for image and video synthesis, Deepfakes a...

Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color Consistency

Immunohistochemical (IHC) stains play a vital role in a pathologist's analysis of medical images, ...

Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis

Histopathological imaging is vital for cancer research and clinical practice, with multiplexed Imm...

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