Pathology

Pathology

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

10,334 articles

Showing 7897-7917 of 10,334 articles

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

[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

To explore the feasibility of using faster regional convolutional neural network (Faster R-CNN) to ...

Jun 2020 32521977

[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

Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

This study evaluates the performance of convolutional neural networks (CNNs) in risk stratifying the...

Jun 2020 32511208

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Mobile microrobots offer great promise for minimally invasive targeted medical theranostic applicati...

May 2020 33022624

Artificial Intelligence Will Not Replace Health Professionals, but the Proper Use of Artificial Intelligence Will Make Health Professionals Better.

Deep learning has enabled great advances to be made in cancer research with regards to diagnosis, pr...

May 2020 32414836

Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.

PURPOSE OF REVIEW: Patients with nonmuscle invasive bladder cancer (NMIBC) have a high risk of recur...

May 2020 32141938

Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.

PURPOSE: Tumor-infiltrating lymphocytes (TILs) and their spatial characterizations on whole-slide im...

May 2020 32453636

[Research status and trend of artificial intelligence in the diagnosis of urinary diseases].

Recently, artificial intelligence (AI) has been widely applied in the diagnosis and treatment of uri...

Apr 2020 32329274

Generative and discriminative model-based approaches to microscopic image restoration and segmentation.

Image processing is one of the most important applications of recent machine learning (ML) technolog...

Apr 2020 32215571

[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

OBJECTIVE: Feature extraction of breast tumors is very important in the breast tumor detection (beni...

Apr 2020 32762200

ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.

MOTIVATION: The tissue atlas of the human protein atlas (HPA) houses immunohistochemistry (IHC) imag...

Apr 2020 31804670

Computational cannula microscopy of neurons using neural networks.

Computational cannula microscopy is a minimally invasive imaging technique that can enable high-reso...

Apr 2020 32236081

Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach.

The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely...

Apr 2020 32311963

[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compres...

Apr 2020 32483947

Uncovering tissue-specific binding features from differential deep learning.

Transcription factors (TFs) can bind DNA in a cooperative manner, enabling a mutual increase in occu...

Mar 2020 31974574

MLCD: A Unified Software Package for Cancer Diagnosis.

PURPOSE: Machine Learning Package for Cancer Diagnosis (MLCD) is the result of a National Institutes...

Mar 2020 32216637

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

[Application of convolutional neural network to risk evaluation of positive circumferential resection margin of rectal cancer by magnetic resonance imaging].

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

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

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

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

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

Thyroid Nodule Malignancy Risk Stratification Using a Convolutional Neural Network.

Multifunctional surface microrollers for targeted cargo delivery in physiological blood flow.

Artificial Intelligence Will Not Replace Health Professionals, but the Proper Use of Artificial Intelligence Will Make Health Professionals Better.

Developments in the follow-up of nonmuscle invasive bladder cancer: what did we learn in the last 24 months: a critical review.

Deep-Learning-Based Characterization of Tumor-Infiltrating Lymphocytes in Breast Cancers From Histopathology Images and Multiomics Data.

[Research status and trend of artificial intelligence in the diagnosis of urinary diseases].

Generative and discriminative model-based approaches to microscopic image restoration and segmentation.

[Multi-feature Extraction and Classification of Breast Tumor in Ultrasound Image].

ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.

Computational cannula microscopy of neurons using neural networks.

Discriminating malignant and benign clinical T1 renal masses on computed tomography: A pragmatic radiomics and machine learning approach.

[Efficacy of Neoadjuvant Endocrine Therapy for Prostate Ductal Carcinoma with Large Multiple Cysts Prior to Robot-Assisted Laparoscopic Radical Prostatectomy].

Uncovering tissue-specific binding features from differential deep learning.

MLCD: A Unified Software Package for Cancer Diagnosis.

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