SCI Paper: Skin Disease Detection

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@citijayamala

1. I am an expert in Statistics, Regression analysis, Linear regression analysis, p value, ANOVAs, etc. I use excel and other statistical software like SPSS, STATA, E-views for data analysis and statistical analysis based on client requirement. 2. Have done many projects in statistics using SPSS, STATA, E-views. I read your project and sure I can handle your project. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction 5. I will provide assistance even after the payment. And will maintain data (content) security.

@amirrmusavifr

Hi, I’m an AI expert with professional experience in computer vision, with a proven track record of working on complex image processing and AI/ML model development. With skill sets: • Algorithm Development: Strong understanding of computer vision algorithms and techniques, including convolutional neural networks (CNNs), object detection, image segmentation and feature extraction. • Model Training & fine-tuning: Develop and train machine learning models tailored for image analysis and visual data interpretation. I have worked on some well-known models like YOLO, RCNN, U-Net, Deeplab, ViT etc. • AI Integration: Implement and integrate AI models into existing software and hardware systems, ensuring high performance and scalability. • Data Analysis: Analyze and process large datasets of images and video feeds to identify patterns, trends, and insights. • Data Handling: Experience in handling and processing large datasets, including image and video data. Familiarity with data augmentation techniques and synthetic data generation. • Performance Optimization: Optimize algorithms and models for real-time processing and ensure they can handle large-scale data efficiently. • Programming Skills: Proficient in programming languages such as Python. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras. • Tools & Libraries: Proficiency with OpenCV, scikit-image, and other relevant libraries. Experience with version control systems like Git.

@divyam12345

Dear Sir/Madam, I have a professional team experienced in deep learning, Python, medical image analysis, and research paper writing. We can help with the complete skin disease detection project, including model development, experiments, result analysis, paper writing, and journal submission support. Let’s connect in the chatbox to discuss the project further, including the budget and timeline. I am ready to work with you, please connect in the chatbox for further discussions. Thank You. Dr. Divya.

@KrisuTechkul

Hi, Krishna here from Delhi - we are a team of 20+ engineers and have completed more than 300 projects with 4.7 rating. We have gone through your project requirements and would like to schedule a discussion call please. As an experienced and skilled AI researcher, I am the ideal candidate to co-develop and write your skin-disease detection paper. My advanced knowledge in Data Science, Deep Learning, and Machine Learning would ensure the development of a groundbreaking detection algorithm that surpasses the performance of existing methods. I also have expertise in computer vision, specifically using CNNs for object detection, which is highly relevant to your project. In addition to my technical skills, I've published SCI papers in the past and I'm familiar with the nuanced processes of journal formatting, cover letter writing, peer review handling and successful submission. This includes ensuring reproducibility with code and hyper-parameter documentation in order to meet Turnitin's standards. My fee structure is transparent – I believe in fair remuneration aligned with milestones achieved.

@lalitdeveloper7

Hi I can co-develop a complete SCI-quality research paper on skin disease detection, covering dataset preparation, novel deep-learning model development, experimentation, result analysis, manuscript writing, and journal submission support. I will provide reproducible code, publication-quality figures and tables, a Turnitin AI/plagiarism report, and a well-structured manuscript aligned with the requirements of suitable SCI-indexed journals. Please let me know further. Thanks.

@shubhankar1967

Hi, I am an IITian with 10+ years of experience to develop similar projects ,I will develop a skin lesion classification pipeline using a vision transformer (ViT or Swin Transformer v2) fine-tuned on HAM10000/ISIC datasets with data augmentation via Albumentations, implemented in PyTorch with Hugging Face Transformers. I'll benchmark against EfficientNet-B7 and ResNet-152 baselines using stratified k-fold validation, report metrics (AUC-ROC, sensitivity, specificity) with Grad-CAM++ explainability visualizations, and structure the manuscript following IEEE JBHI or Elsevier CMPB formatting for high-impact SCI-indexed submission. Kindly click on the chat button so I can share you my relavant projects. Lets connect

@lawrenceg30

Hello, I have carefully reviewed your project on skin disease detection and I am confident I can deliver accurate and high-quality results. I have experience working with data analysis and image-based classification tasks, and I understand the importance of precision in medical-related projects. I can assist in building or improving a model for skin disease detection using machine learning techniques, ensuring proper data preprocessing, feature extraction, and evaluation for reliable results. I am committed to accuracy, attention to detail, and timely delivery. I am ready to start immediately and will maintain clear communication throughout the project to ensure your requirements are fully met. I am also open to revisions to improve performance and accuracy. I would be happy to discuss your dataset, expected output, and technical requirements so I can tailor my approach accordingly. Looking forward to working with you. Thank you.

@DrAM10

I hold a PhD in Biotechnology and have experience in AI-assisted biomedical research, scientific writing, manuscript development, and publication in indexed journals. I can support the complete workflow, including dataset selection, model development, experimental design, result interpretation, manuscript writing, journal selection, formatting, submission, and reviewer-response preparation. DOI links to my published papers can be shared in chat. A realistic timeline would be approximately 7–8 weeks for data preparation, model development, experiments, and first manuscript draft, followed by journal-specific formatting and submission. While I can help maximize publication quality and identify suitable SCI-indexed, no-APC journals, no researcher can ethically guarantee journal acceptance, as the final decision always rests with editors and peer reviewers. My focus is on delivering a technically strong, reproducible, publication-ready study with documented code, hyperparameters, and a well-structured manuscript.

@rabiaa217

Dear Principal Investigator, I noticed most bids offer generic ML code, but a successful SCI publication requires genuine algorithmic novelty and an end-to-end peer-review strategy. I can co-develop this paper with you and handle the entire pipeline until final acceptance. * The Novelty: I suggest a hybrid Swin Transformer + ConvNeXt Dual-Branch Network with a custom cross-attention bridge. This provides the exact "novel algorithm" narrative reviewers look for on HAM10000/ISIC datasets. * No-APC Journals: We will focus on 100% APC-free subscription journals like Biomedical Signal Processing and Control (Elsevier). * Reproducibility: You will get fully documented, clean PyTorch code. * My Commitment: I will handle model training, high-quality figure generation, Turnitin checks (<10%), and all major/minor revision cycles. Timeline: 6-7 Days for the first complete draft and code package. Let's connect over chat to discuss a quick 2-page structural outline! Best regards, Rabia