Pathology

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

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Ovarian Toxicity Assessment in Histopathological Images Using Deep Learning.

As ovarian toxicity is often a safety concern for cancer therapeutics, identification of ovarian pat...

Oct 2019 31594487
Generic Isolated Cell Image Generator.

Building automated cancer screening systems based on image analysis is currently a hot topic in comp...

Oct 2019 31593370
Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

BACKGROUND: Advances in cartilage tissue engineering have demonstrated noteworthy potential for deve...

Oct 2019 32002838
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning.

Machine learning algorithms hold the promise to effectively automate the analysis of histopathologic...

Oct 2019 31586139
Computer-Aided Diagnosis in Histopathological Images of the Endometrium Using a Convolutional Neural Network and Attention Mechanisms.

Uterine cancer (also known as endometrial cancer) can seriously affect the female reproductive syste...

Oct 2019 31581102
Microphysiological sensing platform for an in-situ detection of tissue-secreted cytokines.

Understanding the protein-secretion dynamics from single, specific tissues is critical toward the ad...

Oct 2019 32904308
Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.

Visual inspection of histopathology images of stained biopsy tissue by expert pathologists is the st...

Sep 2019 31567104
A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network.

Magnetic resonance imaging (MRI) images can be used to diagnose brain tumors. Thanks to these images...

Sep 2019 31586812
Neural network methodology for real-time modelling of bio-heat transfer during thermo-therapeutic applications.

Real-time simulation of bio-heat transfer can improve surgical feedback in thermo-therapeutic treatm...

Sep 2019 31813484
Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning.

The blood flow through the major vessels holds great diagnostic potential for the identification of ...

Sep 2019 31557196
Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists.

The objective of our study was to compare the performance of radiologicradiomic machine learning (M...

Sep 2019 31553660
Diagnosis and classification of pediatric acute appendicitis by artificial intelligence methods: An investigator-independent approach.

Acute appendicitis is one of the major causes for emergency surgery in childhood and adolescence. Ap...

Sep 2019 31553729
Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.

The application of deep learning for the detection of lymph node metastases on histologic slides has...

Sep 2019 31541645
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Nuclear segmentation and classification within Haematoxylin & Eosin stained histology images is a fu...

Sep 2019 31561183
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution.

BACKGROUND: As artificial intelligence methods for the diagnosis of disease advance, we aimed to eva...

Sep 2019 31533838
Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI.

We propose a new method for breast cancer screening from DCE-MRI based on a post-hoc approach that i...

Sep 2019 31561184
Neuromuscular actuation of biohybrid motile bots.

The integration of muscle cells with soft robotics in recent years has led to the development of bio...

Sep 2019 31527266
Towards pixel-to-pixel deep nucleus detection in microscopy images.

BACKGROUND: Nucleus is a fundamental task in microscopy image analysis and supports many other quant...

Sep 2019 31521104
Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients.

Decisions regarding acute stroke treatment rely heavily on imaging, but interpretation can be diffic...

Sep 2019 31519923
Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.

Current histological and anatomical analysis techniques, including fluorescence in situ hybridisatio...

Sep 2019 31519997
CIGuide: in situ augmented reality laser guidance.

PURPOSE : A robotic intraoperative laser guidance system with hybrid optic-magnetic tracking for sku...

Sep 2019 31506882
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