# Adekanmi Adeyinka Adegun

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/adekanmi-adeyinka-adegun/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,685 |
| Field | AI in cancer detection |
| h-index | 17 |
| i10-index | 22 |
| Last Known Institution | University of Roehampton |
| OpenAlex ID | https://openalex.org/A5028891015 |
| ORCID iD | 0000-0001-7244-9665 |
| Works | 47 |

## Researcher papers

- [Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art](https://scholariq.org/papers/deep-learning-techniques-for-skin-lesion-analysis-and-melanoma-cancer-detection/)
- [Deep Learning-Based System for Automatic Melanoma Detection](https://scholariq.org/papers/deep-learning-based-system-for-automatic-melanoma-detection/)
- [FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images](https://scholariq.org/papers/fcn-based-densenet-framework-for-automated-detection-and-classification-of-skin/)
- [Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis](https://scholariq.org/papers/review-of-deep-learning-methods-for-remote-sensing-satellite-images/)
- [Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition](https://scholariq.org/papers/long-short-term-memory-recurrent-neural-network-for-automatic-speech-recognition/)
- [An enhanced speech emotion recognition using vision transformer](https://scholariq.org/papers/an-enhanced-speech-emotion-recognition-using-vision-transformer/)
- [Deep Learning Approach for Medical Image Analysis](https://scholariq.org/papers/deep-learning-approach-for-medical-image-analysis/)
- [State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images](https://scholariq.org/papers/state-of-the-art-deep-learning-methods-for-objects-detection-in-remote-sensing/)
- [Lightweight Deep Learning Framework for Speech Emotion Recognition](https://scholariq.org/papers/lightweight-deep-learning-framework-for-speech-emotion-recognition/)
- [Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy](https://scholariq.org/papers/application-of-data-mining-algorithms-for-feature-selection-and-prediction-of/)
- [mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world](https://scholariq.org/papers/mpd-app-a-mobile-enabled-plant-diseases-diagnosis-application-using/)

## Researcher topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Cutaneous Melanoma Detection and Management](https://scholariq.org/topics/cutaneous-melanoma-detection-and-management/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Speech and Audio Processing](https://scholariq.org/topics/speech-and-audio-processing/)
- [Retinal Imaging and Analysis](https://scholariq.org/topics/retinal-imaging-and-analysis/)

## Researcher university

- [University of Roehampton](https://scholariq.org/institutions/university-of-roehampton/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.