Pathology

Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set.

Biomedical applications of deep learning algorithms rely on large expert annotated data sets. The cl...

Foveal blur-boosted segmentation of nuclei in histopathology images with shape prior knowledge and probability map constraints.

MOTIVATION: In most tissue-based biomedical research, the lack of sufficient pathology training imag...

Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.

Feasibility and Accuracy of Artificial Intelligence-Assisted Sponge Cytology for Community-Based Esophageal Squamous Cell Carcinoma Screening in China.

INTRODUCTION: Screening is the pivotal strategy to relieve the burden of esophageal squamous cell ca...

Toward cardiac tissue characterization using machine learning and light-scattering spectroscopy.

SIGNIFICANCE: The non-destructive characterization of cardiac tissue composition provides essential ...

Development of a tendon driven robotic probe for prostate palpation.

Palpation is a clinical diagnosis method utilized by physicians to acquire valuable information abou...

Robotic Cytology using Extra-Fine Needles : -Proposal of Puncture Control Strategy for Increasing Collection Amount.

Fine needle aspiration cytology requires accurate needle insertion into a tumor and sufficient amoun...

A Partial Label-Based Machine Learning Approach For Cervical Whole-Slide Image Classification: The Winning TissueNet Solution.

Cervical cancer is the fourth most common cancer in women worldwide. To determine early treatment fo...

Analysis of Language Embeddings for Classification of Unstructured Pathology Reports.

A pathology report is one of the most significant medical documents providing interpretive insights ...

Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training.

Kidney biopsy interpretation is the gold standard for the diagnosis and prognosis for kidney disease...

Attention Based Deep Multiple Instance Learning Approach for Lung Cancer Prediction using Histopathological Images.

Deep Neural Networks using histopathological images as an input currently embody one of the gold sta...

Evaluation of Deep Learning Topcoders Method for Neuron Individualization in Histological Macaque Brain Section.

Cell individualization has a vital role in digital pathology image analysis. Deep Learning is consid...

An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning.

TRUS-MR fusion guided biopsy highly depends on the quality of alignment between pre-operative Magnet...

An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.

Cell segmentation is a common step in cell behavior analysis. Reliably and automatically segmenting ...

Dual Encoder Attention U-net for Nuclei Segmentation.

Nuclei segmentation in whole slide images (WSIs) stained with Hematoxylin and Eosin (H&E) dye, is a ...

A Novel Adaptive Fuzzy Deep Learning Approach for Histopathologic Cancer Detection.

We proposed a novel model that integrates the fuzzy theory and group equivariant convolutional neura...

Weakly Supervised Attention Map Training for Histological Localization of Colonoscopy Images.

We consider the problem of training a convolutional neural network for histological localization of ...

Robot-Assisted Electrical Impedance Scanning system for 2D Electrical Impedance Tomography tissue inspection.

The electrical impedance tomography (EIT) technology is an important medical imaging approach to sho...

A Classification-Guided Segmentation Algorithm Based on Deep Learning for Epithelium Segmentation in Histopathological Images of Radicular Cysts.

In histopathological analysis of radicular cysts (RCs), lesions in epithelium can provide pathologis...

Automatic Deep Learning Segmentation and Quantification of Epicardial Adipose Tissue in Non-Contrast Cardiac CT scans.

An Automatic deep learning semantic segmentation (ADLS) using DeepLab-v3-plus technique is proposed ...

[Optimal lower limb alignment and soft tissue balancing strategy for robot-assisted total knee arthroplasty].

Lower limb alignment and soft tissue balance are important factors affecting patient satisfaction, c...