Pathology

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

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Transfer learning on fused multiparametric MR images for classifying histopathological subtypes of rhabdomyosarcoma.

This paper presents a deep-learning-based CADx for the differential diagnosis of embryonal (ERMS) an...

May 2017 28515009
Accurate Classification of Protein Subcellular Localization from High-Throughput Microscopy Images Using Deep Learning.

High-throughput microscopy of many single cells generates high-dimensional data that are far from st...

May 2017 28391243
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach.

Machine learning systems have recently received increased attention for their broad applications in ...

Apr 2017 28440283
Lipid associated antioxidants: arylesterase and paraoxonase-1 in benign prostatic hyperplasia treatment-naïve patients.

BACKGROUND: Oxidative stress and antioxidants have been implicated in many diseases including prosta...

Apr 2017 29556488
Metastasis detection from whole slide images using local features and random forests.

Digital pathology has led to a demand for automated detection of regions of interest, such as cancer...

Apr 2017 28426134
A novel laparoscopic grasper with two parallel jaws capable of extracting the mechanical behaviour of soft tissues.

Data related to force-deformation behaviour of soft tissue plays an important role in medical/surgic...

Apr 2017 28406346
Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images.

Epithelium-stroma classification is a necessary preprocessing step in histopathological image analys...

Apr 2017 28410112
Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer.

Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients...

Apr 2017 28378829
Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer.

Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. ...

Apr 2017 28473865
Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome.

Finding new uses for existing drugs has become a new strategy for decades to treat more patients. Fe...

Mar 2017 28545612
Endomicroscopy for Computer and Robot Assisted Intervention.

Endomicroscopy is a new technique that allows human tissue to be characterized in vivo and in situ, ...

Mar 2017 28333642
A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.

Accurately assessment of adipose tissue volume inside a human body plays an important role in predic...

Mar 2017 28495009
MRF-ANN: a machine learning approach for automated ER scoring of breast cancer immunohistochemical images.

Molecular pathology, especially immunohistochemistry, plays an important role in evaluating hormone ...

Mar 2017 28319275
A rare case of isolated castrate resistant bilateral testicular metastases in advanced prostate cancer.

Testicular metastasis is rare with the prostate being the most common site of primary cancer. We rep...

Mar 2017 29736376
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction.

Digital reconstruction, or tracing, of 3-D neuron structure from microscopy images is a critical ste...

Mar 2017 28287966
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

Nuclear segmentation in digital microscopic tissue images can enable extraction of high-quality feat...

Mar 2017 28287963
A novel computer-aided diagnosis system for breast MRI based on feature selection and ensemble learning.

Breast cancer is a common cancer among women. With the development of modern medical science and inf...

Mar 2017 28282591
Automating cell detection and classification in human brain fluorescent microscopy images using dictionary learning and sparse coding.

BACKGROUND: Immunofluorescence (IF) plays a major role in quantifying protein expression in situ and...

Mar 2017 28267565
Two-way learning with one-way supervision for gene expression data.

BACKGROUND: A family of parsimonious Gaussian mixture models for the biclustering of gene expression...

Mar 2017 28257645
Structuring Legacy Pathology Reports by openEHR Archetypes to Enable Semantic Querying.

BACKGROUND: Clinical information is often stored as free text, e.g. in discharge summaries or pathol...

Feb 2017 28244546
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