Edit and Improve Research Paper on Breast Cancer Medical Imaging Using Reinforcement Learning
Budget: $250 – $750 USD
I have a full draft of a breast cancer medical imaging study that applies reinforcement learning, and I want it polished to Q1/Q2 journal standards within the next month. The manuscript already contains all experiments and figures; however, the Methods and Materials section would benefit from a more rigorous and clearly structured explanation of the reinforcement learning framework, data acquisition, preprocessing pipeline, training protocol, and statistical validation.
In addition, I will revise the entire manuscript, with particular emphasis on strengthening the Introduction and Related Work section. This includes improving the depth of literature analysis, providing a more structured comparison with existing approaches, and clearly highlighting the research gap and the novelty of the proposed method.
Beyond these focal sections, I require a careful review of the complete manuscript to ensure that every technical claim is accurate and properly referenced, the language is clear and academically sound, and the formatting strictly follows the target journal’s guidelines (including heading structure, citation style, figure and table placement, and reference formatting).
The deliverables should include two versions of the manuscript: a tracked-changes file showing all modifications, and a clean, submission-ready version in PDF or Word format. I will provide the current draft, the journal’s author guidelines, and any necessary data for verification. If clarification is needed during the revision process, particularly in the methodology or related work sections, questions should be raised to ensure accuracy. While quality and precision are the priority, the final version should be completed within three weeks.
Experience in medical imaging or computational medicine is strongly preferred, and familiarity with reinforcement learning terminology will facilitate effective collaboration.
In addition, I will revise the entire manuscript, with particular emphasis on strengthening the Introduction and Related Work section. This includes improving the depth of literature analysis, providing a more structured comparison with existing approaches, and clearly highlighting the research gap and the novelty of the proposed method.
Beyond these focal sections, I require a careful review of the complete manuscript to ensure that every technical claim is accurate and properly referenced, the language is clear and academically sound, and the formatting strictly follows the target journal’s guidelines (including heading structure, citation style, figure and table placement, and reference formatting).
The deliverables should include two versions of the manuscript: a tracked-changes file showing all modifications, and a clean, submission-ready version in PDF or Word format. I will provide the current draft, the journal’s author guidelines, and any necessary data for verification. If clarification is needed during the revision process, particularly in the methodology or related work sections, questions should be raised to ensure accuracy. While quality and precision are the priority, the final version should be completed within three weeks.
Experience in medical imaging or computational medicine is strongly preferred, and familiarity with reinforcement learning terminology will facilitate effective collaboration.