Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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Showing 6574-6594 of 7,025 articles
Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent year...

Aug 2019 31261257
A deep learning model based on sparse auto-encoder for prioritizing cancer-related genes and drug target combinations.

Prioritization of cancer-related genes from gene expression profiles and proteomic data is vital to ...

Jul 2019 30944926
Deep Learning to Classify Intraductal Papillary Mucinous Neoplasms Using Magnetic Resonance Imaging.

OBJECTIVE: This study aimed to evaluate a deep learning protocol to identify neoplasia in intraducta...

Jul 2019 31210661
Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging.

Sleep staging, a process of identifying the sleep stages associated with polysomnography (PSG) epoch...

Jul 2019 31946253
Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies.

Soft-tissue Sarcomas (STS) are a heterogeneous group of malignant neoplasms with a relatively high m...

Jul 2019 31946670
A Comprehensive Classification System for Breast Cancer Diagnosis Based on Dynamic Optical Breast Imaging.

The Dynamic Optical Breast Imaging technology is a promising breast cancer diagnosis approach based ...

Jul 2019 31946921
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.

Hepatocellular carcinoma (HCC) is the fifth most common malignancy in the world and the second most ...

Jul 2019 31946954
Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images.

Nasopharyngeal carcinoma (NPC) is prevalent in certain areas, such as South China, Southeast Asia, a...

Jun 2019 30719587
Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers.

INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despi...

Jun 2019 30895304
Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic ade...

May 2019 31117111
Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery.

OBJECTIVES: Laparoscopic metabolic surgery (MxS) can lead to remission of type 2 diabetes (T2D); how...

May 2019 31104738
Prediction of ISUP grading of clear cell renal cell carcinoma using support vector machine model based on CT images.

BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used t...

Apr 2019 30946334
A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche.

Brain metastases are the most lethal complication of advanced cancer; therefore, it is critical to i...

Mar 2019 30810557
Optical biopsy of head and neck cancer using hyperspectral imaging and convolutional neural networks.

For patients undergoing surgical cancer resection of squamous cell carcinoma (SCCa), cancer-free sur...

Mar 2019 30891966
Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning.

Recent studies have shown promising results in using Deep Learning to detect malignancy in whole sli...

Mar 2019 31028058
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.

In this paper, we developed a deep convolutional neural network (CNN) for the classification of mali...

Mar 2019 31622238
Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malign...

Feb 2019 30873970
Tumor Identification in Colorectal Histology Images Using a Convolutional Neural Network.

Colorectal cancer (CRC) is a major global health concern. Its early diagnosis is extremely important...

Feb 2019 30066123
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