journal article·2025Open access

Novel Feature Extractor Framework in Conjunction with Supervised Three Class-XGBoost Algorithm for Osteosarcoma Detection from Whole Slide Medical Histopathology Images

Tanzila Saba, Muhammad Mujahid, Amjad Rehman Khan, Shaha Al-Otaibi, Noor Ayesha

Computers, Materials & Continua· Volume 82· Issue 2

Abstract

Osteosarcomas are malignant neoplasms derived from undifferentiated osteogenic mesenchymal cells. It causes severe and permanent damage to human tissue and has a high mortality rate. The condition has the capacity to occur in... | Find, read and cite all the research you need on Tech Science Press
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Research context

OpenAlex topics: AI in cancer detection · Radiomics and Machine Learning in Medical Imaging · Digital Imaging for Blood Diseases

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References (31)

Show source-provided references
1. The 2020 WHO classification of tumors of bone: an updated review10.1097/PAP.0000000000000293 ↗
2. Therapy for osteosarcoma: where do we go from here?10.2165/00148581-200810050-00005 ↗
3. An intelligent attention-based transfer learning model for accurate differentiation of bone marrow stains to diagnose hematological disorder10.3390/life13102091 ↗
4. A novel deep learning approach for accurate cancer type and subtype identification10.1109/ACCESS.2024.3422313 ↗
5. Large and round tumor nuclei in osteosarcoma: good clinical outcome
6. Breast cancer histopathological image classification using convolutional neural networks
7. Intelligent segmentation medical assistance system for MRI images of osteosarcoma in developing countries
8. Osteosarcoma classification using multilevel feature fusion and ensembles
9. Efficient classification of different medical image multimodalities based on simple CNN architecture and augmentation algorithms10.1007/s12596-022-01089-3 ↗
10. Deep learning approaches to osteosarcoma diagnosis and classification: a comparative methodological approach10.3390/cancers15082290 ↗
11. Deep convolutional neural network based on CT images of pulmonary nodules in the lungs of adolescent and young adult patients with osteosarcoma10.3892/ol.2023.13930 ↗
12. A proposed methodology for detecting the malignant potential of pulmonary nodules in sarcoma using computed tomographic imaging and artificial intelligence-based models10.3389/fonc.2023.1212526 ↗
13. Deep learning-based artificial intelligence for assisting diagnosis, assessment and treatment in soft tissue sarcomas10.1016/j.metrad.2024.100069 ↗
14. Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma10.1016/j.bspc.2022.103824 ↗
15. A deep learning study on osteosarcoma detection from histological images10.1016/j.bspc.2021.102931 ↗
16. Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models10.1371/journal.pone.0210706 ↗
17. Machine learning approach to classify and predict different osteosarcoma types
18. Histopathological diagnosis for viable and non-VT prediction for osteosarcoma using convolutional neural network
19. VT cell density after neoadjuvant chemotherapy assessed using deep learning model reflects the prognosis of osteosarcoma
20. Application of the convolutional neural networks and supervised deep-learning methods for osteosarcoma bone cancer detection10.1016/j.health.2023.100153 ↗
21. Deep learning approach to human osteosarcoma cell detection and classification
22. Osteosarcoma detection in histopathology images using ensemble machine learning techniques10.1016/j.bspc.2023.105281 ↗
23. A novel hybrid approach for classifying osteosarcoma using deep feature extraction and multilayer perceptron10.3390/diagnostics13122106 ↗
24. A binary survivability prediction classification model towards understanding of osteosarcoma prognosis10.28991/ESJ-2023-07-04-018 ↗
25. Prediction of osteosarcoma using machine learning techniques
26. Exploratory analysis and preprocessing of dataset for the classification of osteosarcoma types
27. Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma10.1259/bjr.20201391 ↗
28. Application of interpretable machine learning algorithms to predict distant metastasis in osteosarcoma10.1002/cam4.5225 ↗
29. Osteosarcoma data from UT Southwestern/UT dallas for viable and necrotic tumor assessment (Osteosarcoma-tumor-assessment) [Data set]
30. Classification of osteosarcoma tumor from histological image using sequential RCNN
31. Convolutional neural network for histopathological osteosarcoma image classification