Pathology

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

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Fault diagnosis of nonlinear analog circuits using generalized frequency response function and LSSVM.

A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized freq...

Artificial intelligence in pancreaticobiliary endoscopy: Current applications and future directions.

Pancreaticobiliary endoscopy is an essential tool for diagnosing and treating pancreaticobiliary dis...

Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks.

In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly increased,...

Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

This study aimed to explore a deep learning radiomics (DLR) model based on grayscale ultrasound imag...

BMT: A Cross-Validated ThinPrep Pap Cervical Cytology Dataset for Machine Learning Model Training and Validation.

In the past several years, a few cervical Pap smear datasets have been published for use in clinical...

Multi-stain deep learning prediction model of treatment response in lupus nephritis based on renal histopathology.

The response of the kidney after induction treatment is one of the determinants of prognosis in lupu...

Artificial Intelligence-Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study.

BACKGROUND: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the ea...

Recent Advances and Future Directions in Sonodynamic Therapy for Cancer Treatment.

Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...

Deep Learning Model for the Differential Diagnosis of Nasal Polyps and Inverted Papilloma by CT Images: A Multicenter Study.

RATIONALE AND OBJECTIVES: Nasal polyps (NP) and inverted papilloma (IP) are benign tumors within the...

Prognostic Impact of Tumor Cell Nuclear Size Assessed by Artificial Intelligence in Esophageal Squamous Cell Carcinoma.

Tumor cell nuclear size (NS) indicates malignant potential in breast cancer; however, its clinical s...

Immunohistochemistry-Free Enhanced Histopathology of the Rat Spleen Using Deep Learning.

Enhanced histopathology of the immune system uses a precise, compartment-specific, and semi-quantita...

Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning.

The development of noninvasive methods for bladder cancer identification remains a critical clinical...

Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets.

Deep learning techniques are increasingly being used to classify medical imaging data with high accu...

BCD-TransNet: Automatic breast cancer detection and classification using transfer learning approach.

Breast Cancer (BC) is a predominant form of cancer diagnosed in women and one of the deadliest disea...

Evaluation of cerebral blood flow after subarachnoid hemorrhage using near-field coupling and machine learning.

BackgroundBedside continuous monitoring of cerebral blood flow (CBF) has significant implications in...

Learnable color space conversion and fusion for stain normalization in pathology images.

Variations in hue and contrast are common in H&E-stained pathology images due to differences in slid...

A novel automated method for comprehensive renal cast quantification from rat kidney sections using QuPath.

The presence of tubular casts within the kidney serves as an important feature when assessing the de...

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