Pathology

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

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Class-aware multi-level attention learning for semi-supervised breast cancer diagnosis under imbalanced label distribution.

Breast cancer affects a significant number of patients worldwide, and early diagnosis is critical fo...

Feb 2025 39907850
Cross-ViT based benign and malignant classification of pulmonary nodules.

The benign and malignant discrimination of pulmonary nodules plays a very important role in diagnosi...

Feb 2025 39908279
Quantification of tissue stiffness with magnetic resonance elastography and finite difference time domain (FDTD) simulation-based spatiotemporal neural network.

Quantification of tissue stiffness with magnetic resonance elastography (MRE) is an inverse problem ...

(1)
Feb 2025 39914583
Advancing Source Apportionment of Atmospheric Particles: Integrating Morphology, Size, and Chemistry Using Electron Microscopy Technology and Machine Learning.

To further reduce atmospheric particulate matter concentrations, there is a need for a more precise ...

(3)
Feb 2025 39904525
Deep Learning and Single-Molecule Localization Microscopy Reveal Nanoscopic Dynamics of DNA Entanglement Loci.

Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temp...

(3)
Feb 2025 39903818
Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images.

Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increase...

Feb 2025 39905104
Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques.

In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and ma...

(2)
Feb 2025 39905119
ThyroNet-X4 genesis: an advanced deep learning model for auxiliary diagnosis of thyroid nodules' malignancy.

Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...

Feb 2025 39905156
Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer.

Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is t...

(2)
Feb 2025 39905263
Quantifying the tumour vasculature environment from CD-31 immunohistochemistry images of breast cancer using deep learning based semantic segmentation.

BACKGROUND: Tumour vascular density assessed from CD-31 immunohistochemistry (IHC) images has previo...

(1)
Feb 2025 39905431
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation.

Histopathological image segmentation is a laborious and time-intensive task, often requiring analysi...

(1)
Feb 2025 39222449
A Multi-Perspective Self-Supervised Generative Adversarial Network for FS to FFPE Stain Transfer.

In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathologica...

Feb 2025 39283778
Radiomics Analysis of Different Machine Learning Models based on Multiparametric MRI to Identify Benign and Malignant Testicular Lesions.

RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the ...

Feb 2025 39904666
Weakly supervised multi-modal contrastive learning framework for predicting the HER2 scores in breast cancer.

Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...

Feb 2025 39919535
An AI-assisted morphoproteomic approach is a supportive tool in esophagitis-related precision medicine.

Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse un...

Feb 2025 39901020
Accelerating biopharmaceutical cell line selection with label-free multimodal nonlinear optical microscopy and machine learning.

The selection of high-performing cell lines is crucial for biopharmaceutical production but is often...

(3)
Feb 2025 39900674
Applicability of Artificial Intelligence Analysis in Oral Cytopathology: A Pilot Study.

INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challe...

Feb 2025 39900009
Detecting living microalgae in ship ballast water based on stained microscopic images and deep learning.

Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this stud...

(3)
Feb 2025 39893717
An artificial intelligence-driven revolution in orthopedic surgery and sports medicine.

With the advancement of population aging, the incidence of orthopedic diseases increases annually. T...

(1)
Feb 2025 39715150
Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...

Jan 2025 39888598
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