Pathology

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

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Recognizing Magnification Levels in Microscopic Snapshots.

Recent advances in digital imaging has transformed computer vision and machine learning to new tools...

Jul 2020 33018255
Segmentation of Tau Stained Alzheimers Brain Tissue Using Convolutional Neural Networks.

Alzheimers disease is characterized by complex changes in brain tissue including the accumulation of...

Jul 2020 33018256
Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation.

Segmentation of cell nuclei in fluorescence microscopy images provides valuable information about th...

Jul 2020 33018258
Interphase Cell Cycle Staging using Deep Learning.

The progression of cells through the cell cycle is a tightly regulated process and is known to be ke...

Jul 2020 33018259
A V-Net Based Deep Learning Model for Segmentation and Classification of Histological Images of Gastric Ablation.

Gastric motility disorders are associated with bioelectrical abnormalities in the stomach. Recently,...

Jul 2020 33018260
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading.

Using medical images recorded in clinical practice has the potential to be a game-changer in the app...

Jul 2020 33018338
OrgaNet: A Robust Network for Subcellular Organelles Classification in Fluorescence Microscopy Images.

Automatic identification of subcellular compartments of proteins in fluorescence microscopy images i...

Jul 2020 33018369
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images.

Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but conven...

Jul 2020 33018370
A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks.

Quantitative ultrasound estimates different intrinsic tissue properties, which can be used for tissu...

Jul 2020 33018410
A Composite Material Based Neural Network for Tissue Mechanical Properties Estimation Toward Stage Assessment of Infarction.

Cardiac biomechanical modelling is a promising new tool to be used in prognostic medicine and therap...

Jul 2020 33018588
Impact of Encapsulation Tissue Growth on Selective Recording in Nerve Cuff Electrodes: A Simulation Study.

Peripheral nerve interfaces (PNIs) allow us to extract motor, sensory and autonomic information from...

Jul 2020 33018744
Characterizing Limits of Vision-Based Force Feedback in Simulated Surgical Tool-Tissue Interaction.

Haptic feedback can render real-time force interactions with computer simulated objects. In several ...

Jul 2020 33019088
Intelligent image-activated cell sorting 2.0.

The advent of intelligent image-activated cell sorting (iIACS) has enabled high-throughput intellige...

Jun 2020 32459276
Using Machine Learning Algorithms to Predict Antimicrobial Resistance and Assist Empirical Treatment.

Multi-drug-resistant (MDR) infections and their devastating consequences constitute a global problem...

Jun 2020 32604604
Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Analyses of nerve histology are core assays in basic and applied research and even in clinical setti...

Jun 2020 32604636
[Detection of white blood cells in microscopic leucorrhea images based on deep active learning].

The number of white blood cells in the leucorrhea microscopic image can indicate the severity of vag...

Jun 2020 32597095
Automated Nerve Fibres Identification and Morphometry Analysis with Neural Network Based Tool in MATLAB.

Analyses of nerve histology are core assays in basic and applied research and even in clinical setti...

Jun 2020 32570583
Classification of Histologic Images Using a Single Staining: Experiments with Deep Learning on Deconvolved Images.

The automated analysis of digitized immunohistochemistry microscope slides is usually a challenging ...

Jun 2020 32570590
Uncovering the key dimensions of high-throughput biomolecular data using deep learning.

Recent advances in high-throughput single-cell RNA-seq have enabled us to measure thousands of gene ...

Jun 2020 32232416
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight.

Automatic multi-classification of breast cancer histopathological images has remained one of the top...

Jun 2020 31900812
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