Osteoporosis prediction for trabecular bone using machine learning: a review
Trabecular bone holds the utmost importance due to its significance regarding early bone
loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which …
loss. Diseases like osteoporosis greatly affect the structure of the Trabecular bone which …
Penerapan Metode KNN dan Ekstraksi Ciri GLCM Dalam Klasifikasi Citra Ikan Berformalin
DA Larasati - 2022 - repository.uma.ac.id
Ikan memiliki protein yang tinggi, bahkan jenis ikan tertentu mengandung protein yang lebih
tinggi dari daging. Indonesia merupakan negara yang 75% wilayahnya terdiri dari lautan …
tinggi dari daging. Indonesia merupakan negara yang 75% wilayahnya terdiri dari lautan …
Big healthcare data analytics: Challenges and applications
Increasing demand and costs for healthcare, exacerbated by ageing populations and a
great shortage of doctors, are serious concerns worldwide. Consequently, this has …
great shortage of doctors, are serious concerns worldwide. Consequently, this has …
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …
population. Non-invasive and non-contact imaging modalities are being used for the …
Computer-aided diagnosis systems for osteoporosis detection: a comprehensive survey
Computer-aided diagnosis (CAD) has revolutionized the field of medical diagnosis. They
assist in improving the treatment potentials and intensify the survival frequency by early …
assist in improving the treatment potentials and intensify the survival frequency by early …
Healthcare analysis in smart big data analytics: reviews, challenges and recommendations
Increasing demand and costs for healthcare is a challenge because of the high populations
and the difficulty to cover all patients by the available doctors. The healthcare data …
and the difficulty to cover all patients by the available doctors. The healthcare data …
Combining improved gray-level co-occurrence matrix with high density grid for myoelectric control robustness to electrode shift
Pattern recognition-based myoelectric control is greatly influenced by electrode shift, which
is inevitable during prosthesis donning and doffing. This study used gray-level co …
is inevitable during prosthesis donning and doffing. This study used gray-level co …
A survey of dental caries segmentation and detection techniques
Dental caries detection, in the past, has been a challenging task given the amount of
information got from various radiographic images. Several methods have been introduced to …
information got from various radiographic images. Several methods have been introduced to …
Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study
Purpose To assess the effect of computer-aided detection (CAD) of brain metastasis (BM) on
radiologists' diagnostic performance in interpreting three-dimensional brain magnetic …
radiologists' diagnostic performance in interpreting three-dimensional brain magnetic …
[PDF][PDF] Multimodal biometric system based face-iris feature level fusion
MH Hamd, MY Mohammed - Int. J. Mod. Educ. Comput. Sci, 2019 - researchgate.net
This paper proposed feature level fusion technique to develop a robust multimodal human
identification system. The humane face-iris traits are fused together to improve system …
identification system. The humane face-iris traits are fused together to improve system …