Pathology

Enhancing GANs with Contrastive Learning-Based Multistage Progressive Finetuning SNN and RL-Based External Optimization

Generative Adversarial Networks (GANs) have been at the forefront of image synthesis, especially i...

Reducing Overtreatment of Indeterminate Thyroid Nodules Using a Multimodal Deep Learning Model

Objective: Molecular testing (MT) classifies cytologically indeterminate thyroid nodules as benign...

Evaluation of alarm notification of artificial intelligence in automated analyzer detection of parasites.

To evaluate the alarm notification of artificial intelligence in detecting parasites on the KU-F40 F...

CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis

Content-Based Image Retrieval (CBIR) have shown promising results in the field of medical diagnosi...

[Applications of artificial intelligence for imaging-driven diagnosis and treatment of bone and soft tissue tumors].

Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone a...

An initial game-theoretic assessment of enhanced tissue preparation and imaging protocols for improved deep learning inference of spatial transcriptomics from tissue morphology.

The application of deep learning to spatial transcriptomics (ST) can reveal relationships between ge...

Gene expression prediction from histology images via hypergraph neural networks.

Spatial transcriptomics reveals the spatial distribution of genes in complex tissues, providing cruc...

A multichannel graph neural network based on multisimilarity modality hypergraph contrastive learning for predicting unknown types of cancer biomarkers.

Identifying potential cancer biomarkers is a key task in biomedical research, providing a promising ...

Artificial intelligence strengthens cervical cancer screening - present and future.

Cervical cancer is a severe threat to women's health. The majority of cervical cancer cases occur in...

Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology

In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology...

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning

Prostate cancer (PCa) was the most frequently diagnosed cancer among American men in 2023. The his...

Crown-Like Structures in Breast Adipose Tissue: Finding a 'Needle-in-a-Haystack' using Artificial Intelligence and Collaborative Active Learning on the Web

Crown-like structures (CLS) in breast adipose tissue are formed as a result of macrophages cluster...

Visual Compositional Data Analytics for Spatial Transcriptomics

For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the sca...

How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval

Predicting molecular impact on cellular function is a core challenge in therapeutic design. Phenom...

Towards Determining Mechanical Properties of Brain-Skull Interface Under Tension and Compression

Computational biomechanics models of the brain have become an important tool for investigating the...

CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies

Delineating and classifying individual cells in microscopy tissue images is inherently challenging...

Exploring the Feasibility of Multimodal Chatbot AI as Copilot in Pathology Diagnostics: Generalist Model's Pitfall

Pathology images are crucial for diagnosing and managing various diseases by visualizing cellular ...

Explainable AI for computational pathology identifies model limitations and tissue biomarkers

Introduction: Deep learning models hold great promise for digital pathology, but their opaque deci...

Establishment of artificial intelligence model for precise histological subtyping of lung adenocarcinoma and its application to quantitative and spatial analysis.

BACKGROUND: The histological subtype of lung adenocarcinoma is a major prognostic factor. We develop...

Streamlined Intraoperative Brain Tumor Classification and Molecular Subtyping in Stereotactic Biopsies Using Stimulated Raman Histology and Deep Learning.

PURPOSE: Recent artificial intelligence algorithms aided intraoperative decision-making via stimulat...

Predicting tumour origin with cytology-based deep learning: hype or hope?