Other Cancers

Power and perils of prediction in palliative care.

[Prediction of gene mutation in lung cancer based on deep learning and histomorphology analysis].

Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidit...

[Application of Radiomics in Classification and Prediction of Benign and Malignant Lung Tumors].

Aiming at the lack of quantitative evaluation methods in clinical diagnosis of lung cancer, a classi...

Automated Detection of Radiology Reports that Require Follow-up Imaging Using Natural Language Processing Feature Engineering and Machine Learning Classification.

While radiologists regularly issue follow-up recommendations, our preliminary research has shown tha...

Development and Internal Validation of Machine Learning Algorithms for Preoperative Survival Prediction of Extremity Metastatic Disease.

BACKGROUND: A preoperative estimation of survival is critical for deciding on the operative manageme...

[New aspects in the treatment of localized renal cell carcinoma].

BACKGROUND: Localized renal cell carcinoma is increasingly relevant in daily urological practice due...

Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant).

INTRODUCTION: Peritoneal metastasis (PM) is a frequent condition in patients presenting with gastric...

Postimplementation Evaluation of a Machine Learning-Based Deterioration Risk Alert to Enhance Sepsis Outcome Improvements.

Machine learning-based early warning systems (EWSs) can detect clinical deterioration more accuratel...

Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing ca...

Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is the seventh most common type of cancer ...

Lesion Image Synthesis Using DCGANs for Metastatic Liver Cancer Detection.

This chapter proposes a method to detect metastatic liver cancer from X-ray CT images using a convol...

Evaluation of Prognosis in Nasopharyngeal Cancer Using Machine Learning.

BACKGROUND AND AIM: Although the prognosis of nasopharyngeal cancer largely depends on a classificat...

Radiomics and artificial Intelligence for PET imaging analysis.

In recent years, processing of the imaging signal derived from CT, MR or positron emission has prove...

A Review of Various Machine Learning Techniques for Brain Tumor Detection from MRI Images.

BACKGROUND: This paper endeavors to identify an expedient approach for the detection of the brain tu...

Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning.

OBJECTIVE: The aim is to explore the prediction effect of 5 machine learning algorithms on peritonea...

Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therape...

Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer.

BACKGROUND: Artificial intelligence-assisted image recognition technology is currently able to detec...

Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma.

IMPORTANCE: Predicting survival of oral squamous cell carcinoma through the use of prediction modeli...

[Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].

To examine the value and clinical application of convolutional neural network in pathological diagn...

Diagnostic accuracy of single-source dual-energy computed tomography and ultrasonography for detection of lateral cervical lymph node metastases of papillary thyroid carcinoma.

BACKGROUND: Dual-energy computed tomography (DECT) imaging can generate iodine-based material decomp...

Prevalence, clinicopathological features, and prognosis in upper tract urinary carcinoma patients with severe preoperative chronic kidney disease.

BACKGROUND: Studies regarding the prevalence and factors associated with severe pre-operative chroni...