[HTML][HTML] IoMT-based osteosarcoma cancer detection in histopathology images using transfer learning empowered with blockchain, fog computing, and edge …

MU Nasir, S Khan, S Mehmood, MA Khan, A Rahman… - Sensors, 2022 - mdpi.com
Bone tumors, such as osteosarcomas, can occur anywhere in the bones, though they
usually occur in the extremities of long bones near metaphyseal growth plates …

Automatic detection of osteosarcoma based on integrated features and feature selection using binary arithmetic optimization algorithm

P Bansal, K Gehlot, A Singhal, A Gupta - Multimedia Tools and …, 2022 - Springer
Osteosarcoma is one of the most common malignant bone tumors mostly found in children
and teenagers. Manual detection of osteosarcoma requires expertise and it is a labour …

Breast tumors recognition based on edge feature extraction using support vector machine

Y Liu, L Ren, X Cao, Y Tong - Biomedical Signal Processing and Control, 2020 - Elsevier
Nowadays, it is important for the detection of ultrasound images of breast tumors. In this
paper, a new ultrasonic image feature extraction algorithm combining edge-based features …

Texture based medical image classification by using multi-scale Gabor rotation-invariant local binary pattern (MGRLBP)

V Murugappan, RS Sabeenian - Cluster Computing, 2019 - Springer
Texture medical image classification is a major task in many areas of computer vision and
pattern recognition, including biomedical imaging. In reality, optical surfaces can be abused …

[PDF][PDF] Gray level co-occurrence matrix feature extraction and histogram in breast cancer classification with ultrasonographic imagery

K Djunaidi, HB Agtriadi… - Indonesian Journal …, 2021 - pdfs.semanticscholar.org
One way to detect breast cancer is using the ultrasonography (USG) procedure, but the
ultrasound image is susceptible to the noise speckles so that the interpretation and …

Classification of thyroid ultrasound images based on shape features analysis

HA Nugroho, A Nugroho, EL Frannita… - 2017 10th Biomedical …, 2017 - ieeexplore.ieee.org
Ultrasound image is one of the modalities that is widely used to examine the abnormality of
thyroid gland since it is relatively low-cost and safety. Fine needle aspiration biopsy (FNAB) …

[PDF][PDF] Bounded-abstaining classification for breast tumors in imbalanced ultrasound images

H Guan, Y Zhang, HD Cheng, X Tang - International Journal of Applied …, 2020 - sciendo.com
Computer-aided breast ultrasound (BUS) diagnosis remains a difficult task. One of the
challenges is that imbalanced BUS datasets lead to poor performance, especially with …

Combined CNN and pixel feature image for fatty liver ultrasound image classification

H Zhu, Y Liu, X Gao, L Zhang - … and Mathematical Methods in …, 2022 - Wiley Online Library
Recent revolutionary results of deep learning indicate the advent of reliable classifiers to
perform difficult tasks in medical diagnosis. Fatty liver is a common liver disease, and it is …

Feature extraction based on laws' texture energy for lesion echogenicity classification of thyroid ultrasound images

HA Nugroho, A Nugroho, EL Frannita… - … , Informatics and its …, 2017 - ieeexplore.ieee.org
Ultrasound image is commonly used to examine the malignancy characteristics of thyroid
nodule. One of the important feature to diagnose of malignant thyroid nodule is based on …

Osteosarcoma detection from whole slide images using multi-feature non-seed-based region growing segmentation and feature extraction

P Bansal, A Singhal, K Gehlot - Neural Processing Letters, 2023 - Springer
Out of the various types of primary bone cancers, Osteosarcoma is one of the most common
malignant bone tumors. Children and teenagers are mostly affected by Osteosarcoma …