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Showing 7099-7119 of 15,647 articles

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

Traditional sleep staging with non-overlapping 30-second epochs overlooks multiple sleep-wake transi...

Jul 2021 PMID: 33296317

Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

Recently, an emerging trend in medical image classification is to combine radiomics framework with d...

Jul 2021 PMID: 33290235

Modeling Texture in Deep 3D CNN for Survival Analysis.

Radiomics has shown remarkable potential for predicting the survival outcome for various types of ca...

Jul 2021 PMID: 32960772

Gene Mutation Classification through Text Evidence Facilitating Cancer Tumour Detection.

A cancer tumour consists of thousands of genetic mutations. Even after advancement in technology, th...

Jul 2021 PMID: 34367540

Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

Cancers of unknown primary (CUP) are metastatic cancers for which the primary tumor is not found des...

Jul 2021 PMID: 34325056

Deep learning for segmentation in radiation therapy planning: a review.

Segmentation of organs and structures, as either targets or organs-at-risk, has a significant influe...

Jul 2021 PMID: 34313006

Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.

A subset of primary central nervous system lymphomas (PCNSL) are difficult to distinguish from gliob...

Jul 2021 PMID: 34312463

A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125.

BACKGROUND: To evaluate the performance of a decision support system (DSS) based on radiomics and ma...

Jul 2021 PMID: 34308487

The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation.

There was an investigation of the auxiliary role of convolutional neural network- (CNN-) based magne...

Jul 2021 PMID: 34385899

Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches.

Uterine cancer consists of cells of a layer that forms the inside of the uterus. Sometimes, as a res...

Jul 2021 PMID: 34329863

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.

Lung cancer is one of the most common and deadly malignant cancers. Accurate lung tumor segmentation...

Jul 2021 PMID: 34325225

An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Breast cancer is one among the most frequent reasons of women's death worldwide. Nowadays, healthcar...

Jul 2021 PMID: 34302269

Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Epithelial-mesenchymal transition (EMT) and its reverse process, mesenchymal-epithelial transition (...

Jul 2021 PMID: 34297718

Intermediate-term survival of robot-assisted versus open radical cystectomy for muscle-invasive and high-risk non-muscle invasive bladder cancer in The Netherlands.

BACKGROUND: Radical cystectomy with pelvic lymph node dissection is the recommended treatment in non...

Jul 2021 PMID: 34303597

Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning.

Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric q...

Jul 2021 PMID: 34352654

Perioperative and Oncologic Outcomes of Single-Port Multiport Robot-Assisted Radical Prostatectomy: A Meta-Analysis.

Although single-port robot-assisted radical prostatectomy (SP-RARP) is considered a safe and feasib...

Jul 2021 PMID: 34157849

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

BACKGROUND AND OBJECTIVES: while traditional sleep staging is achieved through the visual - expert-b...

Jul 2021 PMID: 34333204

Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial.

BACKGROUND: White light endoscopy is a pivotal first-line tool for the detection of gastric neoplasm...

Jul 2021 PMID: 34297944

Browse Categories

Detailed Assessment of Sleep Architecture With Deep Learning and Shorter Epoch-to-Epoch Duration Reveals Sleep Fragmentation of Patients With Obstructive Sleep Apnea.

Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.

Modeling Texture in Deep 3D CNN for Survival Analysis.

Gene Mutation Classification through Text Evidence Facilitating Cancer Tumour Detection.

Identification of Tissue of Origin and Guided Therapeutic Applications in Cancers of Unknown Primary Using Deep Learning and RNA Sequencing (TransCUPtomics).

Deep learning for segmentation in radiation therapy planning: a review.

Classification of glioblastoma versus primary central nervous system lymphoma using convolutional neural networks.

A decision support system based on radiomics and machine learning to predict the risk of malignancy of ovarian masses from transvaginal ultrasonography and serum CA-125.

The Value of Convolutional Neural Network-Based Magnetic Resonance Imaging Image Segmentation Algorithm to Guide Targeted Controlled Release of Doxorubicin Nanopreparation.

Detection of segmented uterine cancer images by Hotspot Detection method using deep learning models, Pigeon-Inspired Optimization, types-based dominant activation selection approaches.

MSDS-UNet: A multi-scale deeply supervised 3D U-Net for automatic segmentation of lung tumor in CT.

An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Machine learning reveals mesenchymal breast carcinoma cell adaptation in response to matrix stiffness.

Intermediate-term survival of robot-assisted versus open radical cystectomy for muscle-invasive and high-risk non-muscle invasive bladder cancer in The Netherlands.

Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning.

Perioperative and Oncologic Outcomes of Single-Port Multiport Robot-Assisted Radical Prostatectomy: A Meta-Analysis.

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial.

Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

Automatic cell counting from stimulated Raman imaging using deep learning.

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