Работы, цитирующие эту работу

Работ: 7

Работа: Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features

1. Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling

   Mohamed J. Saadh, Hanan Hassan Ahmed, Radhwan Abdul Kareem +11

   СтатьяGene expression and cancer classificationDiscover Oncology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000114

2. Multi-objective deep learning for lung cancer detection in CT images: enhancements in tumor classification, localization, and diagnostic efficiency

   Abdulqader Faris Abdulqader, Shaymaa Mohammed Abdulameer, Ashok Kumar Bishoyi +10

   СтатьяLung Cancer Diagnosis and TreatmentDiscover Oncology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000234

3. TabNet and TabTransformer: Novel Deep Learning Models for Chemical Toxicity Prediction in Comparison With Machine Learning

   Firas Mahmood Mustafa, Ali Fawzi Al‐Hussainy, Hardik Doshi +10

   СтатьяComputational Drug Discovery MethodsJournal of Applied Toxicology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.000260

4. Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images

   Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr +10

   СтатьяArtificial Intelligence in Healthcare and EducationBMC Musculoskeletal Disorders2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001072

5. Reproducible meningioma grading across multi-center MRI protocols via hybrid radiomic and deep learning features

   Mohamed J. Saadh, Rafid Jihad Albadr, Dharmesh Sur +10

   СтатьяMeningioma and schwannoma managementNeuroradiology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001814

6. Radiomics meets transformers: A novel approach to tumor segmentation and classification in mammography for breast cancer

   Mohamed J. Saadh, Qusay Mohammed Hussain, Rafid Jihad Albadr +10

   СтатьяRadiomics and Machine Learning in Medical ImagingJournal of X-Ray Science and Technology2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002186

7. Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis

   Rafid Jihad Albadr, Dharmesh Sur, Anupam Yadav +11

   СтатьяMeningioma and schwannoma managementEuropean journal of medical research2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002248