Tallha Akram

Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization

Muhammad Attique Khan, Muhammad Sharif, Tallha Akram et al. · Diagnostics · 2021 · 261 citations · Full text

Manual Diagnosis, Medical Image Segmentation, Engineering +25

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

Muhammad Attique Khan, Tallha Akram, Yudong Zhang et al. · Pattern Recognition Letters · 2021 · 241 citations

Skin Lesion Detection, Dermoscopic Image, Image Classification +14

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

Muhammad Attique Khan, Tallha Akram, Muhammad Sharif et al. · Computers and Electronics in Agriculture · 2018 · 230 citations

Image Classification, Convolutional Neural Network, Image Analysis +15

Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection

Muhammad Attique Khan, Ikram Ullah Lali, Amjad Rehman et al. · Microscopy Research and Technique · 2019 · 183 citations

Multi-Class Skin Lesion Detection and Classification via Teledermatology

Muhammad Attique Khan, Khan Muhammad, Muhammad Sharif et al. · IEEE Journal of Biomedical and Health Informatics · 2021 · 161 citations

Engineering, Biometrics, Diagnosis +20