File size: 2,362 Bytes
46451dd 889e8f5 9688ab3 889e8f5 f2888df 6a7066b 46451dd 9688ab3 46451dd 889e8f5 46451dd 9688ab3 46451dd 889e8f5 9688ab3 889e8f5 9688ab3 46451dd 9688ab3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | FROM python:3.10-slim
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=1 \
PORT=7860 \
HOME=/home/user \
APP_ROOT=/app \
PATH=/home/user/.local/bin:$PATH \
HF_HOME=/tmp/.huggingface \
TRANSFORMERS_CACHE=/tmp/.cache/huggingface/transformers \
HUGGINGFACE_HUB_CACHE=/tmp/.cache/huggingface/hub\
PAPER_URL=https://ieeexplore.ieee.org/Xplore/home.jsp\
PAPER_TITLE='RG-DermNet: A Multimodal Attention-Based Model with Residual Block Usage for Skin Lesion Classification'\
PAPER_DESCRIPTION='Skin cancer accounts for nearly one-third of all diag-\nnosed tumors worldwide, making early and accurate recognition\ncritical for improving patient outcomes. In this work, we pro-\npose RG-DermNet, a multimodal deep learning framework that\nintegrates skin lesion images with structured clinical metadata\nthrough a residual gated-attention (RG-ATT) fusion mechanism.\nThe architecture combines CNN- and Transformer-based visual\nbackbones with a lightweight one-hot encoding pipeline for meta-\ndata, enabling effective cross-modal interaction. The proposed\nmodel is evaluated using a patient-wise cross-validation protocol\nacross four dermatological datasets with heterogeneous metadata.\nOn PAD-UFES-20, using Caformer-B36 as the visual backbone,\nRG-DermNet achieves an accuracy of 0.75 ± 0.05, balanced\naccuracy of 0.78 ± 0.03, F1-score of 0.77 ± 0.04, and AUC of\n0.95 ± 0.01, outperforming existing multimodal baselines under\nthe same evaluation setting. In addition, a SHAP-based analysis\nprovides insights into the contribution of clinical metadata to\nthe model’s predictions, supporting both performance gains and\ninterpretability.'
RUN useradd -m -u 1000 user
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
gcc \
g++ \
git \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender1 \
libgomp1 \
&& rm -rf /var/lib/apt/lists/*
RUN mkdir -p /tmp/.huggingface /tmp/.cache/huggingface/transformers /tmp/.cache/huggingface/hub
COPY --chown=user requirements.txt $APP_ROOT/requirements.txt
USER user
RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
pip install --no-cache-dir -r $APP_ROOT/requirements.txt
COPY --chown=user . $APP_ROOT
EXPOSE 7860
CMD ["python", "app.py"]
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