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Showing 6175-6195 of 15,618 articles

Semantic segmentation of human cell nucleus using deep U-Net and other versions of U-Net models.

The deep learning models play an essential role in many areas, including medical image analysis. The...

Jul 2022 PMID: 35822269

Deep-learning-based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma.

AIMS: Desmoplastic reaction (DR) categorisation has been shown to be a promising prognostic factor i...

Jul 2022 PMID: 35758184

A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.

BACKGROUND: DNA Methylation is one of the most important epigenetic processes that are crucial to re...

Jul 2022 PMID: 35818034

Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.

BACKGROUND AND OBJECTIVE: Leukemia represents 30% of all pediatric cancers and is considered the mos...

Jul 2022 PMID: 35878483

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection.

Breast cancer is a top dangerous killer for women. An accurate early diagnosis of breast cancer is t...

Jul 2022 PMID: 35834967

Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.

BACKGROUND: When endoscopically resected specimens of early colorectal cancer (CRC) show high-risk f...

Jul 2022 PMID: 35802259

A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma.

BACKGROUND: A growing body of evidence has suggested the involvement of metabolism in the occurrence...

Jul 2022 PMID: 35804447

A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting.

Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multifo...

Jul 2022 PMID: 35714611

Applications of artificial intelligence multiomics in precision oncology.

Cancer is the second leading worldwide disease that depends on oncogenic mutations and non-mutated g...

Jul 2022 PMID: 35796775

Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI-based deep learning features.

BACKGROUND: A considerable proportion of metastatic brain tumors progress locally despite stereotact...

Jul 2022 PMID: 35727568

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Cancer is a Toxic health concern worldwide, it happens when cellular modifications cause the irregul...

Jul 2022 PMID: 36100346

Applicability analysis of immunotherapy for lung cancer patients based on deep learning.

According to global and Chinese cancer statistics, lung cancer is the second most common cancer glob...

Jul 2022 PMID: 35809770

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enl...

Jul 2022 PMID: 35857625

Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar rese...

Jul 2022 PMID: 35789301

Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.

Background A preoperative CT-based deep learning (DL) prediction model was proposed to estimate dise...

Jul 2022 PMID: 35787198

Development of Lymphopenia during Therapy with Immune Checkpoint Inhibitors Is Associated with Poor Outcome in Metastatic Cutaneous Melanoma.

Predictive markers for immune checkpoint inhibitor (ICI) therapy are needed. Thus, baseline blood co...

Jul 2022 PMID: 35805052

Browse Categories

Semantic segmentation of human cell nucleus using deep U-Net and other versions of U-Net models.

Deep-learning-based classification of desmoplastic reaction on H&E predicts poor prognosis in oesophageal squamous cell carcinoma.

A hybrid metaheuristic-deep learning technique for the pan-classification of cancer based on DNA methylation.

Enhancing classification of cells procured from bone marrow aspirate smears using generative adversarial networks and sequential convolutional neural network.

SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection.

Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.

A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma.

A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting.

Applications of artificial intelligence multiomics in precision oncology.

Predicting the outcome of radiotherapy in brain metastasis by integrating the clinical and MRI-based deep learning features.

cACP-DeepGram: Classification of anticancer peptides via deep neural network and skip-gram-based word embedding model.

Applicability analysis of immunotherapy for lung cancer patients based on deep learning.

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.

Development of Lymphopenia during Therapy with Immune Checkpoint Inhibitors Is Associated with Poor Outcome in Metastatic Cutaneous Melanoma.

Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning.

Classifying tumor brain images using parallel deep learning algorithms.

Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism.

Deep learning-based microarray cancer classification and ensemble gene selection approach.

Breast Cancer Detection and Classification Empowered With Transfer Learning.

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