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

Showing 3214-3234 of 8,365 articles

Deep learning-based detection algorithm for brain metastases on black blood imaging.

Brain metastases (BM) are the most common intracranial tumors, and their prevalence is increasing. H...

Nov 2022 PMID: 36376364

Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.

RATIONALE AND OBJECTIVES: Accurate identification of axillary lymph node (ALN) status in breast canc...

Nov 2022 PMID: 36376154

Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma.

We have recently shown that histological phenotypes focusing on clear and eosinophilic cytoplasm in ...

Nov 2022 PMID: 36372298

Bone tumor necrosis rate detection in few-shot X-rays based on deep learning.

Although biopsy-based necrosis rate is a golden standard for reflecting the sensitivity of bone tumo...

Nov 2022 PMID: 36446309

Artificial intelligence for prediction of response to cancer immunotherapy.

Artificial intelligence (AI) indicates the application of machines to imitate intelligent behaviors ...

Nov 2022 PMID: 36372326

Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the onc...

Nov 2022 PMID: 36430344

Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.

Computer-aided Invasive Ductal Carcinoma (IDC) grading classification systems based on deep learning...

Nov 2022 PMID: 36357456

Brain tumor classification based on neural architecture search.

Brain tumor is a life-threatening disease and causes about 0.25 million deaths worldwide in 2020. Ma...

Nov 2022 PMID: 36357437

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.

Accurate medical image segmentation of brain tumors is necessary for the diagnosing, monitoring, and...

Nov 2022 PMID: 34478389

Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study.

RATIONALE AND OBJECTIVES: Programmed Death-Ligand 1 (PD-L1) is an important biomarker for patient se...

Nov 2022 PMID: 36369191

Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences.

Early detection of cancers has been much explored due to its paramount importance in biomedical fiel...

Nov 2022 PMID: 36348271

Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer.

Programmed death ligand-1 (PD-L1) has been recently adopted for breast cancer as a predictive biomar...

Nov 2022 PMID: 36347854

Microfluidics guided by deep learning for cancer immunotherapy screening.

Immunocyte infiltration and cytotoxicity play critical roles in both inflammation and immunotherapy....

Nov 2022 PMID: 36343225

Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade.

Different biomarkers based on genomics variants have been used to predict the response of patients t...

Nov 2022 PMID: 36420269

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the...

Nov 2022 PMID: 36333407

Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.

BACKGROUND: Machine learning was a highly effective tool in model construction. We aim to establish ...

Nov 2022 PMID: 36329470

Oncology/Hematology

Browse Categories

Deep learning-based detection algorithm for brain metastases on black blood imaging.

Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.

Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma.

Bone tumor necrosis rate detection in few-shot X-rays based on deep learning.

Artificial intelligence for prediction of response to cancer immunotherapy.

Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

Performance analysis of seven Convolutional Neural Networks (CNNs) with transfer learning for Invasive Ductal Carcinoma (IDC) grading in breast histopathological images.

Brain tumor classification based on neural architecture search.

Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.

Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study.

Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences.

Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer.

Microfluidics guided by deep learning for cancer immunotherapy screening.

Deep learning to estimate durable clinical benefit and prognosis from patients with non-small cell lung cancer treated with PD-1/PD-L1 blockade.

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Exploring risk factors for cervical lymph node metastasis in papillary thyroid microcarcinoma: construction of a novel population-based predictive model.

Fluorescence-guided extended pelvic lymphadenectomy during robotic radical prostatectomy.

Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely?

Accurate prediction of histological grading of intraductal papillary mucinous neoplasia using deep learning.

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.

End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI.

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