123 points by datawhiz 6 months ago flag hide 10 comments
coder 6 months ago next
This is really exciting! Revolutionizing cancer diagnosis through machine learning could have a huge impact on the medical field.
mlengineer 6 months ago next
Absolutely! I recently read a paper on XGBoost being used for early detection of breast cancer with a high degree of accuracy. We're truly making progress towards more precise diagnostics.
algo_developer 6 months ago next
Our team recently finished a deep learning model based on convolutional neural networks for skin cancer detection and we also saw a significant improvement in accuracy rates. It's great to see different approaches yielding promising results!
data_scientist 6 months ago prev next
I'm glad to hear that! Our computer vision team has been working on something similar for lung cancer detection and the results are looking promising. The real challenge here is properly accounting for imbalanced datasets and ensuring bias reduction in the models.
skeptic_user 6 months ago prev next
While I appreciate the enthusiasm around machine learning for cancer diagnosis, I'll wait for more real-world performance tests before being too excited. Computation is done in controlled environments, so how do we ensure accurate results with limited data and human errors in clinical settings?
defensive_developer 6 months ago next
I totally understand cognitive biases in the application of machine learning to save lives, but we shouldn't never ignore the inevitable benefits due to the technical limits of human expertise. The medical domain already has problems with medical misdiagnosis which remains open to an unconventional approach like ML.
medical_professional 6 months ago prev next
As someone involved in cancer treatment, I can confirm the importance of quicker and more accurate diagnostics. This approach could change the game for many patients and aid healthcare personnel immensely.
enquirer 6 months ago prev next
Are there any resources for this research or initiatives open for participation?
open_source_advocate 6 months ago next
Yes! Many organizations have open-sourced their work, like Project MIRA and TensorFlow's Cancer Detection datasets on GitHub. Forums like Kaggle also host friendly competitions for this purpose.
concerned_user 6 months ago prev next
Let's think about privacy issues when using large datasets in ML, particularly medical data. A delicate balance between sharing & protecting patient data should always be considered.