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Subcategories: Brain Cancer Breast Cancer Chemotherapy Colon Cancer Lung Cancer Other Cancers Prostate Cancer Skin Cancer

Showing 7708-7728 of 15,647 articles

Cytotoxic potentials of silibinin assisted silver nanoparticles on human colorectal HT-29 cancer cells.

It is of interest to study the cytotoxicity of silibinin assisted silver nanoparticles in human colo...

Nov 2020 PMID: 34803254

Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation.

The aim of this study was to develop a diagnostic strategy for esophageal squamous cell carcinoma (E...

Nov 2020 PMID: 34513127

Deep Learning-Based Spermatogenic Staging Assessment for Hematoxylin and Eosin-Stained Sections of Rat Testes.

In preclinical toxicology studies, a "stage-aware" histopathological evaluation of testes is recogni...

Nov 2020 PMID: 33252007

Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine.

In this study, a transfer learning method was utilized to recognize and classify benign and malignan...

Nov 2020 PMID: 33302247

ENNAACT is a novel tool which employs neural networks for anticancer activity classification for therapeutic peptides.

The prevalence of cancer as a threat to human life, responsible for 9.6 million deaths worldwide in ...

Nov 2020 PMID: 33254015

Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.

PURPOSE: The accurate segmentation of liver and liver tumors from CT images can assist radiologists ...

Nov 2020 PMID: 33159809

Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

BACKGROUND: Surgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). How...

Nov 2020 PMID: 33246424

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network.

Acute esophagitis (AE) occurs among a significant number of patients with locally advanced lung canc...

Nov 2020 PMID: 33245052

Comparison of 11 automated PET segmentation methods in lymphoma.

Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesio...

Nov 2020 PMID: 32906088

Comparing Laparotomy with Robot-assisted Interval Debulking Surgery for Patients with Advanced Epithelial Ovarian Cancer Receiving Neoadjuvant Chemotherapy.

STUDY OBJECTIVE: Compare survival of patients with advanced epithelial ovarian cancer (EOC) undergoi...

Nov 2020 PMID: 33248314

Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.

Background The growing awareness of cardiovascular toxicity from cancer therapies has led to the eme...

Nov 2020 PMID: 33241727

A deep learning diagnostic platform for diffuse large B-cell lymphoma with high accuracy across multiple hospitals.

Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies. Pathologic d...

Nov 2020 PMID: 33244018

Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging.

The most common mesenchymal tumors are gastrointestinal stromal tumors (GISTs), which have malignant...

Nov 2020 PMID: 33304203

Artificial intelligence in image reconstruction: The change is here.

Innovations in CT have been impressive among imaging and medical technologies in both the hardware a...

Nov 2020 PMID: 33246273

Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in...

Nov 2020 PMID: 33733200

Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.

Differentiating pseudoprogression from true tumor progression has become a significant challenge in ...

Nov 2020 PMID: 33230285

Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling.

Ductal carcinoma in situ (DCIS) is a pre-cancerous lesion in the ducts of the breast, and early diag...

Nov 2020 PMID: 34804768

Browse Categories

Cytotoxic potentials of silibinin assisted silver nanoparticles on human colorectal HT-29 cancer cells.

Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation.

Deep Learning-Based Spermatogenic Staging Assessment for Hematoxylin and Eosin-Stained Sections of Rat Testes.

Classification of malignant tumors in breast ultrasound using a pretrained deep residual network model and support vector machine.

ENNAACT is a novel tool which employs neural networks for anticancer activity classification for therapeutic peptides.

Spatial feature fusion convolutional network for liver and liver tumor segmentation from CT images.

Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

Predicting spatial esophageal changes in a multimodal longitudinal imaging study via a convolutional recurrent neural network.

Comparison of 11 automated PET segmentation methods in lymphoma.

Comparing Laparotomy with Robot-assisted Interval Debulking Surgery for Patients with Advanced Epithelial Ovarian Cancer Receiving Neoadjuvant Chemotherapy.

Machine Learning-Based Risk Assessment for Cancer Therapy-Related Cardiac Dysfunction in 4300 Longitudinal Oncology Patients.

A deep learning diagnostic platform for diffuse large B-cell lymphoma with high accuracy across multiple hospitals.

Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging.

Artificial intelligence in image reconstruction: The change is here.

Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence.

Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.

Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling.

Interpretable deep learning systems for multi-class segmentation and classification of non-melanoma skin cancer.

Toward reliable automatic liver and tumor segmentation using convolutional neural network based on 2.5D models.

HIV-positive patients with oral Kaposi's sarcoma: An overall survival analysis of 31 patients.

Development of a light-weight deep learning model for cloud applications and remote diagnosis of skin cancers.

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