Pathology

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

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Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges bio...

Aug 2022 35654752
Automatic segmentation of breast cancer histological images based on dual-path feature extraction network.

The traditional manual breast cancer diagnosis method of pathological images is time-consuming and l...

Aug 2022 36124584
Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data.

Serial section electron microscopy (ssEM) can provide comprehensive 3D ultrastructural information o...

Aug 2022 35926462
[Development of Deep Convolutional Neural Network-Based Algorithm for Muscle Biopsy Diagnosis].

To diagnose muscle disease, histopathologic evaluation of muscle biopsy is essential. In addition, s...

Aug 2022 35941800
Double decoupled network for imbalanced obstetric intelligent diagnosis.

Electronic Medical Record (EMR) is the data basis of intelligent diagnosis. The diagnosis results of...

Jul 2022 36031980
Prediction of Human Induced Pluripotent Stem Cell Formation Based on Deep Learning Analyses Using Time-lapse Brightfield Microscopy Images.

We use deep learning methods to predict human induced pluripotent stem cell (hiPSC) formation using ...

Jul 2022 36085839
Deep Learning for Breast Cancer Classification of Deep Ultraviolet Fluorescence Images toward Intra-Operative Margin Assessment.

Breast conserving surgery aims at the complete removal of malignant lesions while minimizing healthy...

Jul 2022 36086063
nnUNet-based Multi-modality Breast MRI Segmentation and Tissue-Delineating Phantom for Robotic Tumor Surgery Planning.

Segmentation of the thoracic region and breast tissues is crucial for analyzing and diagnosing the p...

Jul 2022 36086096
Deep-Learning for High Quality and High Quantitative Ultrasonic Echo Imaging.

This paper performs in simulations deep learning (DL) for high quality and high quantitative ultraso...

Jul 2022 36086107
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images.

Accurate segmentation of nuclei is an essential step in analysis of digital histology images for dia...

Jul 2022 36086360
Estimating Echocardiographic Myocardial Strain of Left Ventricle with Deep Learning.

The global longitudinal strain of the myocardial tissue has been shown to be a better indicator of c...

Jul 2022 36086563
Rethinking ImageNet Pre-training for Computational Histopathology.

Transfer learning from ImageNet pretrained weights is widely used when training Deep Learning models...

Jul 2022 36086630
Hospital-Agnostic Image Representation Learning in Digital Pathology.

Whole Slide Images (WSIs) in digital pathology are used to diagnose cancer subtypes. The difference ...

Jul 2022 36086646
Alleviation of cisplatin-induced hepatotoxicity and nephrotoxicity by L-carnitine.

OBJECTIVES: To assess the protective effect of L-carnitine in reducing cisplatin toxicity via estima...

Jul 2022 36033956
Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time.

BACKGROUND: Immunophenotypic analysis of cell populations by flow cytometry has an established role ...

Jun 2022 35061902
[Research on inversion method of intravascular blood flow velocity based on convolutional neural network].

Blood velocity inversion based on magnetoelectric effect is helpful for the development of daily mon...

Jun 2022 35788526
[Intelligent fault diagnosis expert system for multi-parameter monitor based on fault tree].

Aiming at the dilemma of expensive and difficult maintenance, lack of technical data and insufficien...

Jun 2022 35788529
[Digital pathology].

Digitalisation of pathology slides allows pathologists to make diagnoses using a high-resolution com...

Jun 2022 35781361
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data.

Deciphering the cellular composition in genome-wide spatially resolved transcriptomic data is a crit...

Jun 2022 35191503
Noninvasive Glioma Grading with Deep Learning: A Pilot Study.

Gliomas are the most common neuroepithelial brain tumors, different by various biological tissue typ...

Jun 2022 35673102
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