Pathology

Pathology

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

10,203 articles

Showing 4747-4767 of 10,203 articles

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.

Nuclei mymargin segmentation is a fundamental task for various computational pathology applications ...

Oct 2020 31283474

Deep Learning-Based Spectral Unmixing for Optoacoustic Imaging of Tissue Oxygen Saturation.

Label free imaging of oxygenation distribution in tissues is highly desired in numerous biomedical a...

Oct 2020 32746111

Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images.

Nuclei segmentation is a fundamental task in histopathology image analysis. Typically, such segmenta...

Oct 2020 32746112

Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities.

Recently, there has been great interest in developing Artificial Intelligence (AI) enabled computer-...

Oct 2020 33246265

A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.

We present a new large-scale three-fold annotated microscopy image dataset, aiming to advance the pl...

Oct 2020 33110087

Thyroid Nodule Classification for Physician Decision Support Using Machine Learning-Evaluated Geometric and Morphological Features.

The classification of thyroid nodules using ultrasound (US) imaging is done using the Thyroid Imagin...

Oct 2020 33121054

Identifying gross post-mortem organ images using a pre-trained convolutional neural network.

Identifying organs/tissue and pathology on radiological and microscopic images can be performed usin...

Oct 2020 33105027

Super-Resolved q-Space deep learning with uncertainty quantification.

Diffusion magnetic resonance imaging (dMRI) provides a noninvasive method for measuring brain tissue...

Oct 2020 33227600

Realizing 5G- and AI-based doctor-to-doctor remote diagnosis: opportunities, challenges, and prospects.

Fifth Generation (5G) mobile communications technology became available in Japan as of the end of Ma...

Oct 2020 33100291

Potential Candidates for Focal Therapy in Prostate Cancer in the Era of Magnetic Resonance Imaging-targeted Biopsy: A Large Multicenter Cohort Study.

BACKGROUND: Focal therapy (FT) with its favorable side-effect profile represents an option between a...

Oct 2020 33877047

DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples.

BACKGROUND AND OBJECTIVE: The use of several stains during histology sample preparation can be usefu...

Oct 2020 33137701

Can artificial intelligence distinguish between malignant and benign mediastinal lymph nodes using sonographic features on EBUS images?

AIMS: This study aimed to develop a new intelligent diagnostic approach using an artificial neural n...

Oct 2020 33054411

Improving the taxonomy of fossil pollen using convolutional neural networks and superresolution microscopy.

Taxonomic resolution is a major challenge in palynology, largely limiting the ecological and evoluti...

Oct 2020 33097671

Artificial Intelligence Applied to Breast MRI for Improved Diagnosis.

Background Recognition of salient MRI morphologic and kinetic features of various malignant tumor su...

Oct 2020 33078996

Breast ultrasound lesion classification based on image decomposition and transfer learning.

PURPOSE: In medical image analysis, deep learning has great application potential. Discovering a met...

Oct 2020 33012047

Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

To evaluate whether radiomic features from contrast-enhanced computed tomography (CE-CT) can identif...

Oct 2020 33082371

PyHIST: A Histological Image Segmentation Tool.

The development of increasingly sophisticated methods to acquire high-resolution images has led to t...

Oct 2020 33075075

A machine learning analysis of a "normal-like" IDH-WT diffuse glioma transcriptomic subgroup associated with prolonged survival reveals novel immune and neurotransmitter-related actionable targets.

BACKGROUND: Classification of primary central nervous system tumors according to the World Health Or...

Oct 2020 33059718

Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends.

Quantitative mapping of MR tissue parameters such as the spin-lattice relaxation time (T ), the spin...

Oct 2020 33063400

Dermoscopic diagnostic performance of Japanese dermatologists for skin tumors differs by patient origin: A deep learning convolutional neural network closes the gap.

In the dermoscopic diagnosis of skin tumors, it remains unclear whether a deep neural network (DNN) ...

Oct 2020 33063398

SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.

Spatially-resolved molecular profiling by immunostaining tissue sections is a key feature in cancer ...

Oct 2020 33060677

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