Pathology

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

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Identifying Bacteria Species on Microscopic Polyculture Images Using Deep Learning.

Preliminary microbiological diagnosis usually relies on microscopic examination and, due to the rout...

Jan 2023 36155470
Semi-Supervised Pixel Contrastive Learning Framework for Tissue Segmentation in Histopathological Image.

Accurate tissue segmentation in histopathological images is essential for promoting the development ...

Jan 2023 36269914
Development and Validation of a Deep Learning Algorithm to Differentiate Colon Carcinoma From Acute Diverticulitis in Computed Tomography Images.

IMPORTANCE: Differentiating between malignant and benign etiology in large-bowel wall thickening on ...

Jan 2023 36705919
Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models.

Pathological pain subtypes can be classified as either neuropathic pain, caused by a somatosensory n...

Dec 2022 36584284
Integrated Damage Location Diagnosis of Frame Structure Based on Convolutional Neural Network with Inception Module.

Accurate damage location diagnosis of frame structures is of great significance to the judgment of d...

Dec 2022 36617014
Feasibility and Accuracy of Robot-Assisted, Stereotactic Biopsy Using 3-Dimensional Intraoperative Imaging and Frameless Registration Tool.

BACKGROUND: Robot-assisted stereotactic biopsy is evolving: 3-dimensional intraoperative imaging too...

Dec 2022 36700740
Nystagmus patterns classification framework based on deep learning and optical flow.

Benign paroxysmal positional vertigo (BPPV) is the most common vestibular peripheral vertigo disease...

Dec 2022 36621190
Deep learning as a new tool in the diagnosis of mycosis fungoides.

Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the gre...

Dec 2022 36571610
Intraoperative cytological diagnosis of brain tumours: A preliminary study using a deep learning model.

BACKGROUND: Intraoperative pathological diagnosis of central nervous system (CNS) tumours is essenti...

Dec 2022 36458464
Automated quantification and statistical assessment of proliferating cardiomyocyte rates in embryonic hearts.

The use of digital image analysis and count regression models contributes to the reproducibility and...

Dec 2022 36563012
A strategy to formulate data-driven constitutive models from random multiaxial experiments.

We present a test technique and an accompanying computational framework to obtain data-driven, surro...

Dec 2022 36564401
A deep-learning model for transforming the style of tissue images from cryosectioned to formalin-fixed and paraffin-embedded.

Histological artefacts in cryosectioned tissue can hinder rapid diagnostic assessments during surger...

Dec 2022 36564629
Symptoms are known by their companies: towards association guided disease diagnosis assistant.

Over the last few years, dozens of healthcare surveys have shown a shortage of doctors and an alarmi...

Dec 2022 36550411
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.

Osteosarcoma is the most common primary bone cancer, whose standard treatment includes pre-operative...

Dec 2022 36563747
Detection of Colorectal Adenocarcinoma and Grading Dysplasia on Histopathologic Slides Using Deep Learning.

Colorectal cancer (CRC) is one of the most common types of cancer among men and women. The grading o...

Dec 2022 36563748
Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images.

To develop a deep-learning system for the automatic identification of triple-negative breast cancer ...

Dec 2022 36542320
Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability.

Gas breakthrough pressure is a significant parameter for the gas exploration and safety evaluation o...

Dec 2022 36538229
Predicting Underestimation of Invasive Cancer in Patients with Core-Needle-Biopsy-Diagnosed Ductal Carcinoma In Situ Using Deep Learning Algorithms.

The prediction of an occult invasive component in ductal carcinoma in situ (DCIS) before surgery is ...

Dec 2022 36648988
Medical Image Classification Based on Semi-Supervised Generative Adversarial Network and Pseudo-Labelling.

Deep learning has substantially improved the state-of-the-art in object detection and image classifi...

Dec 2022 36560335
Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology.

BACKGROUND: Several studies have used artificial intelligence (AI) to analyze cytology images, but A...

Dec 2022 36524985
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