tesis Computer Vision Project

universidad EIA

Updated 2 years ago

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Classes (2)
lesion selar
tumor hipofisario
Description

Here are a few use cases for this project:

  1. Early Detection of Brain Tumors: Use the "tesis" model to analyze MRI scans of patients proactively during routine check-ups, helping in the early identification of the presence of lesion selar or tumor hipofisario, leading to timely and potentially life-saving interventions.

  2. Assisting in Treatment Planning: Oncologists and neurosurgeons can use the "tesis" model to study the location, size, and class of a patient's tumor. This helps in determining the best treatment options and surgical approaches, ultimately improving patient outcomes.

  3. Medical Education and Training: Incorporate the "tesis" model in medical school curricula and professional trainings aimed at educating future doctors and radiologists about the identification and treatment of lesion selar and tumor hipofisario.

  4. Research Tool for Cancer Studies: The "tesis" model can serve as a tool for researchers working on experimental treatments or clinical trials focused on lesion selar and tumor hipofisario. By identifying tumor classes efficiently and consistently, the model can help researchers compare treatment efficacy and study tumor progression over time.

  5. Second Opinion Provider: Medical professionals can use the "tesis" model to double-check their own findings when analyzing brain MRI scans. This can reduce the likelihood of diagnostic errors and help confirm the presence of lesion selar or tumor hipofisario, resulting in more accurate decision-making.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            tesis-rjbm4_dataset,
                            title = { tesis Dataset },
                            type = { Open Source Dataset },
                            author = { universidad EIA },
                            howpublished = { \url{ https://universe.roboflow.com/universidad-eia-cm9mx/tesis-rjbm4 } },
                            url = { https://universe.roboflow.com/universidad-eia-cm9mx/tesis-rjbm4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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