AI Medical Compendium Journal:
Journal of cancer research and clinical oncology

Showing 21 to 30 of 61 articles

Quantified treatment effect at the individual level is more indicative for personalized radical prostatectomy recommendation: implications for prostate cancer treatment using deep learning.

Journal of cancer research and clinical oncology Feb 1, 2024
BACKGROUND: There are potential uncertainties and overtreatment existing in radical prostatectomy (RP) for prostate cancer (PCa) patients, thus identifying optimal candidates is quite important.
Retrospective Studies Male Deep Learning Prostate Proportional Hazards Models Prostatectomy Humans Prostatic Neoplasms Prostate-Specific Antigen
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Early port site and peritoneal metastasis following robot-assisted radical cystectomy: a rare case report.

Journal of cancer research and clinical oncology Jan 25, 2024
Radical cystectomy with pelvic lymph node dissection is the recommended treatment for managing muscle-invasive carcinoma of the urinary bladder. Early recurrence is observed in only about 4.1% of cases. Port-site metastasis following robot-assisted r...
Humans Cystectomy Urinary Bladder Liver Neoplasms Robotics Urinary Bladder Neoplasms Peritoneal Neoplasms
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Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.

Journal of cancer research and clinical oncology Jan 19, 2024
OBJECTIVE: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratifying the risk of testicular masses, aiming to guide individualized treatment and minimize unnecessary procedures.
Humans Risk Assessment Retrospective Studies Deep Learning Radiomics Nomograms
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Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.

Journal of cancer research and clinical oncology Sep 27, 2023
BACKGROUND: Cutaneous malignant melanoma (CMM) has the worst prognosis among skin cancers, especially metastatic CMM. Predicting its prognosis accurately could direct clinical decisions.
Melanoma, Cutaneous Malignant Skin Neoplasms Deep Learning Humans Retrospective Studies Melanoma
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Automated bone marrow cell classification through dual attention gates dense neural networks.

Journal of cancer research and clinical oncology Sep 23, 2023
PURPOSE: The morphology of bone marrow cells is essential in identifying malignant hematological disorders. The automatic classification model of bone marrow cell morphology based on convolutional neural networks shows considerable promise in terms o...
Neural Networks, Computer Algorithms Leukemia Bone Marrow Cells Humans
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Noninvasive grading of glioma brain tumors using magnetic resonance imaging and deep learning methods.

Journal of cancer research and clinical oncology Sep 12, 2023
PURPOSE: Convolutional Neural Networks (ConvNets) have quickly become popular machine learning techniques in recent years, particularly in the classification and segmentation of medical images. One of the most prevalent types of brain cancers is glio...
Humans Magnetic Resonance Imaging Deep Learning Glioma Neural Networks, Computer Brain Neoplasms
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A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma.

Journal of cancer research and clinical oncology Sep 7, 2023
PURPOSE: Skin cutaneous melanoma (SKCM) is a highly aggressive melanocytic carcinoma whose high heterogeneity and complex etiology make its prognosis difficult to predict. This study aimed to construct a risk subtype typing model for SKCM.
MicroRNAs Melanoma, Cutaneous Malignant Deep Learning Multiomics Humans Skin Neoplasms Risk Assessment Melanoma
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Development and external validation of the multichannel deep learning model based on unenhanced CT for differentiating fat-poor angiomyolipoma from renal cell carcinoma: a two-center retrospective study.

Journal of cancer research and clinical oncology Sep 6, 2023
PURPOSE: There are undetectable levels of fat in fat-poor angiomyolipoma. Thus, it is often misdiagnosed as renal cell carcinoma. We aimed to develop and evaluate a multichannel deep learning model for differentiating fat-poor angiomyolipoma (fp-AML)...
Kidney Neoplasms Carcinoma, Renal Cell Deep Learning Diagnosis, Differential CD36 Antigens Angiomyolipoma Humans Retrospective Studies Sensitivity and Specificity Leukemia, Myeloid, Acute Tomography, X-Ray Computed
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Combining radiomics and deep learning features of intra-tumoral and peri-tumoral regions for the classification of breast cancer lung metastasis and primary lung cancer with low-dose CT.

Journal of cancer research and clinical oncology Aug 29, 2023
PURPOSE: To investigate the performance of deep learning and radiomics features of intra-tumoral region (ITR) and peri-tumoral region (PTR) in the diagnosing of breast cancer lung metastasis (BCLM) and primary lung cancer (PLC) with low-dose CT (LDCT...
Breast Neoplasms Deep Learning Lung Neoplasms Tomography, X-Ray Computed Female Humans Retrospective Studies
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Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models.

Journal of cancer research and clinical oncology Aug 12, 2023
BACKGROUND AND OBJECTIVE: The second most prevalent cause of death among women is now breast cancer, surpassing heart disease. Mammography images must accurately identify breast masses to diagnose early breast cancer, which can significantly increase...
Breast Neoplasms Tumor Microenvironment Machine Learning Humans Female Neural Networks, Computer Mammography Breast
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