Oncology/Hematology

Other Cancers

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

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Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning.

Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric q...

Cross-Gram matrices and their use in transfer learning: Application to automatic REM detection using heart rate.

BACKGROUND AND OBJECTIVES: while traditional sleep staging is achieved through the visual - expert-b...

Prediction model for malignant pulmonary nodules based on cfMeDIP-seq and machine learning.

Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) is a new b...

MRI Image Segmentation Model with Support Vector Machine Algorithm in Diagnosis of Solitary Pulmonary Nodule.

This study focused on the application value of MRI images processed by a Support Vector Machine (SVM...

Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling.

For a patient affected by breast cancer, after tumor removal, it is necessary to decide which adjuva...

Comparing different CT, PET and MRI multi-modality image combinations for deep learning-based head and neck tumor segmentation.

BACKGROUND: Manual delineation of gross tumor volume (GTV) is essential for radiotherapy treatment p...

Systems biology informed neural networks (SBINN) predict response and novel combinations for PD-1 checkpoint blockade.

Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...

An Evolutionary Approach for the Enhancement of Dermatological Images and Their Classification Using Deep Learning Models.

Dermatological problems are the most widely spread skin diseases amongst human beings. They can be i...

Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.

The purpose of our study was to develop a radiomics model based on preoperative MRI and clinical in...

Distinct tumor signatures using deep learning-based characterization of the peritumoral microenvironment in glioblastomas and brain metastases.

Tumor types are classically distinguished based on biopsies of the tumor itself, as well as a radiol...

Deep Learning on MRI Images for Diagnosis of Lung Cancer Spinal Bone Metastasis.

This paper aimed to explore the adoption of deep learning algorithms in lung cancer spinal bone meta...

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy.

Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annua...

[MRI-guided minimally invasive treatment of prostate cancer].

CLINICAL/METHODOLOGICAL ISSUE: Multiparametric magnetic resonance imaging (mpMRI) of the prostate pl...

Second-order multi-instance learning model for whole slide image classification.

Whole slide histopathology images (WSIs) play a crucial role in diagnosing lymph node metastasis of ...

BCDnet: Parallel heterogeneous eight-class classification model of breast pathology.

Breast cancer is the cancer with the highest incidence of malignant tumors in women, which seriously...

Aggregation-and-Attention Network for brain tumor segmentation.

BACKGROUND: Glioma is a malignant brain tumor; its location is complex and is difficult to remove su...

Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resectio...

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