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ORCIDInternational Journal of Data Mining and Bioinformatics, Volume 30
Volume 30, Numbers 1/2, 2026
- J. Viji Gripsy, T. Divya:
Machine learning algorithm for lung cancer classification using ADASYN with standard random forest. 1-17 - Manoranjan Dash:
Modified VGG-16 model for COVID-19 chest X-ray images: optimal binary severity assessment. 18-27 - Rakesh Kumar Donthi, Ram Chandra Bhushan, N. Lakshmipathi Anantha
, P. Dileep, Ulligaddala Srinivasarao:
An efficient attention encoder decoder-based residual-UNet for the segmentation of liver and lung tumour. 28-52 - Kaushal Kishor, Manoj Singhal, Rajesh Kumar Maurya, Pramod Kumar Sagar, Rupak Sharma, Satya Prakash Yadav:
A novel suppressed segmentation framework for hyperspectral image processing in earlier cancer detection. 53-89 - Bin Fang:
Age invariant face recognition method based on enhanced convolutional neural network. 90-103 - Bikash Baruah, Manash Pratim Dutta, Subhasish Banerjee, Dhruba K. Bhattacharyya:
Revealing novel biomarkers for oesophageal squamous cell carcinoma through integrated single-cell RNA sequencing analysis. 104-124 - Anuradha Govada, Virendra Singh Kushwah, Ruth Ramya Kalangi, Vimala Shanmugam:
Skin cancer detection and segmentation utilising LadderNet by stock exchange white shark optimisation enabled deep learning. 125-151 - Bo Yang:
Deep mining of elderly health data based on improved association clustering. 152-164 - Mengmeng Zhang, Yu Bai, Shengli Han, Jun Shu:
The role of SP100 in tumour immune microenvironment and prognosis of head and neck squamous cell carcinoma. 165-177
Volume 30, Number 5, 2026
- Ji-Yun Liu, Jun Yuan, Li Luo, Xuan Yin:
Hypertension-driven mechano-immune crosstalk related novel genes may be potential targets for IA rupture progression. 1-14
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