Pathology

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

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Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT.

PURPOSE: Computed tomography (CT) is an effective method for detecting and characterizing lung nodul...

Jun 2019 31087332
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow.

We propose a method to classify cardiac pathology based on a novel approach to extract image derived...

Jun 2019 31200290
A review on brain tumor diagnosis from MRI images: Practical implications, key achievements, and lessons learned.

The successful early diagnosis of brain tumors plays a major role in improving the treatment outcome...

Jun 2019 31173851
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptio...

Jun 2019 31160815
Automated brain histology classification using machine learning.

Brain and breast tumors cause significant morbidity and mortality worldwide. Accurate and expedient ...

May 2019 31155342
Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration.

Autofluorescence is the emission of light by naturally occurring tissue components on the absorption...

May 2019 31203169
BACH: Grand challenge on breast cancer histology images.

Breast cancer is the most common invasive cancer in women, affecting more than 10% of women worldwid...

May 2019 31226662
Development of a deep neural network for generating synthetic dual-energy chest x-ray images with single x-ray exposure.

Dual-energy chest radiography (DECR) is a medical imaging technology that can improve diagnostic acc...

May 2019 31026841
A Mechatronic Platform for Computer Aided Detection of Nodules in Anatomopathological Analyses via Stiffness and Ultrasound Measurements.

This study presents a platform for ex-vivo detection of cancer nodules, addressing automation of med...

May 2019 31159334
In situ tissue classification during laser ablation using acoustic signals.

We suggest a novel method to classify the type of tissue that is being ablated, using the recorded a...

May 2019 30983142
Spatio-temporal deep learning models for tip force estimation during needle insertion.

PURPOSE: Precise placement of needles is a challenge in a number of clinical applications such as br...

May 2019 31147818
Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.

The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second mos...

May 2019 31163391
Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net.

PURPOSE: Transrectal ultrasound (TRUS) is a versatile and real-time imaging modality that is commonl...

May 2019 31074513
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.

PURPOSE: The gold standard for colorectal cancer metastases detection in the peritoneum is histologi...

May 2019 31129859
Use of Magnetic Resonance Imaging and Artificial Intelligence in Studies of Diagnosis of Parkinson's Disease.

Parkinson's disease (PD) is a common neurodegenerative disorder. It has a delitescent onset and a sl...

May 2019 31083923
Pathologist-level classification of histopathological melanoma images with deep neural networks.

BACKGROUND: The diagnosis of most cancers is made by a board-certified pathologist based on a tissue...

May 2019 31129383
A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.

The safety and public health during nuclear power plant operation can be enhanced by accurately reco...

May 2019 31171304
Does transanal total mesorectal excision of rectal cancer improve histopathology metrics and/or complication rates? A meta-analysis.

BACKGROUND: The aim of this meta-analysis was to determine whether transanal total mesorectal excisi...

May 2019 31500784
Adaptation of CytoProcessor for cervical cancer screening of challenging slides.

BACKGROUND: Current automated cervical cytology screening systems require purchase of a dedicated pr...

May 2019 31111676
Cancer taxonomy: pathology beyond pathology.

The way we categorise and classify cancer types dictates not only the way we diagnose and treat pati...

May 2019 31108243
Impact of pre-analytical variables on deep learning accuracy in histopathology.

AIMS: Machine learning (ML) binary classification in diagnostic histopathology is an area of intense...

May 2019 30801768
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